content · minister without portfolio, executive yuan ... yi-chich chiu shan-jen fang jong-i hu...

Asian Federation for Information Technology in Agriculture /World Conference on Computers in Agriculture

September 3 – 6, 2012, Taipei, Taiwan

001

Welcome Message 002

Acknowledgement 003

Committees 003

Conference Information 005

Social Program 010

General Information 011

Sightseeing 013

Technical Program

- Program at-a-Glance 015 - Monday, September 3, 2012 016- Tuesday, September 4, 2012 017- Wednesday, September 5, 2012 030- Poster Session 038- Instruction for Chairs and Speakers 041

Abstracts

- Tuesday, September 4, 2012 042- Wednesday, September 5, 2012 106

Content



002



Dear distinguished participants, colleagues and friends,

On behalf of the Organizing Committee of The 8th Asian Federation for Information Technology in Agriculture (AFITA

2012) and World Conference on Computers in Agriculture (WCCA 2012), we would like to welcome your participation

for this biennial event held during Sep. 3rd~6th, 2012 at National Training Institute of Farmers’ Organizations (Tianmu

Convention Center) in Taipei, Taiwan.

This year, we received 160 paper submissions from 23 different countries around the world. We would like to thank

those who submitted papers to the congress and we are very proud that the quality of the papers is ever improving.

The Organizing Committee is pleased to announce that we have prepared a very comprehensive scientific program

which will be featured as two keynote lectures, four workshops and twenty-one seminars of the accepted papers.

Furthermore, social programs and field trips have been arranged for participants to experience the unique fusion of

Taiwanese cultures, lifestyles, and exotic cuisines in this energetic city, Taipei. With these marvelous arrangements, we

expect more than 200 participants from at least 25 countries to join this event!

We would like to acknowledge the contributions that have made AFITA/WCCA 2012 a successful event. First, we would

like to thank all the authors who submitted their papers to us, and we hope that they continue to submit their high

quality works to AFITA in future years. We thank the conference committee members and the external reviewers for

their hard work in providing a rigorous and fair evaluation of each submission and providing detailed comments and

feedback to help authors improve their works. We are very grateful to the keynotes and invited speakers for enriching

the conference by presenting their distinguished and internationally recognized researches.

Yet despite all the high anticipation on the exciting content of the conference, only with your participation can we

make AFITA/WCCA 2012 realize its milestone position. AFITA/WCCA 2012 would not have its soul without your

presence. It’s our great honor and pleasure to be able to receive you and we wish all of you a pleasant and wonderful

time in the hospitability of Taiwan.

Dr. San-Cheng (Simon) ChangPresident

Taiwan Agricultural Information Technology Association

Asian Federation for Information Technology in Agriculture

Minister without Portfolio, Executive Yuan

Welcome Message





003

Government & AssociationsCouncil of Agriculture, Executive Yuan

Individual & Co-operationse-Enabling Data Center

EU Framework Programmme Food, Agriculture and Fisheries, and biotechnology

Galaxy Software Services Corporation

Gao-Shan Wu

Hyweb Technology Co., Ltd.

InfoExplorer Co., Ltd.

Li-Yu Hsu

Microsoft Taiwan Corporation

National Contact Point Taiwan

Taiwan Futaba Electronics Corporation

Wei Peng

Acknowledgement

Conference PresidentSan-Cheng Chang

Scientific Committee ChairWei Fang

Members Seishi Ninomiya Fedro Zazueta Gerhard Schiefer Jung-Tai Chao

Yi-Chich Chiu Shan-Jen Fang Jong-I Hu Joe-Air Jiang

Jen-Chyuan Lee Tzong-Ru Lee Ta-Te Lin Ming-Shu Ruan

Ming-Daw Su Ye-Nu Wan Yao-Ming Yeh Hsiu-Ping Yueh

Program Committee ChairTien-Yin Chou

Members Yung-Cheng Chang Wen-Fu Chen Shu-Huei Chen Ching-Kai Hsiao

Chao-Feng Hsu Huang-Chao Lee Shue-cheng Lin Gour-Tsair Pan

Committees



004



Chung-The Sheng Fuu Sheu Chun-Shi Wang Ming-Che Wu

Mei-Ling Yeh

Organizing Committee ChairChen-Chung Huang

Members Cheng-Wan Feng Kuo-Hsiung Hsiao Jia-Hong Hsu Wen-Jenq Wu

Chen Lin Da-Wei Lin Chih-Hung Tan Hsueh-Hui Wang

Zhi-Wen Wang Chien-Hsien Yen

AFITAHonorary MemberJae kun Chun Osamu Kitani Yasushi Hashimoto Ajit Maru DG Icar

Weon-Sik Hahn Fangquan Mei Sumet Tantivejkul V. C. Patil

Seishi Ninomiya Jane Lin Kudang Boro Seminar

PresidentSan-Cheng Chang

Vice-PresidentZuorui Shen Adinarayana J Setyo Pertiwi Edi Abdurachman

Takemi Machida Lee Jeong-Jae Royol Chitradon Gour-Tsair Pan

Secretary GeneralTien-Yin Chou

Board MemberMeng Xianxue Li Si-Jing D. Rama Rao Yaduraju

Tassim Billah Hastrisari Hasdjomidjojo Ronnie Kastaman Norihiro Nakamura

Takaharu Kameoka Kazuhiro Nakano Shim Keun-Seop SungYoul Park

Pisuth Paiboonrat Royboon Rassameethes Ye-Nu Wan Ching-Kai Hsaio

Chen-Chung Huang

Institutional/Associate MemberFelino P. Lansigan Nguyen Viet Chien M.A. Zaman Kamardin Saadan

Narantuya Baatar Adalfred do Rosario Ferreira Ashraf Tanvir Tshering Tobgay

Saphaugthong Thatheva Sahdev Singh Ehud Gelb Prashant Mandhar

Leisa Armstro

INFITA Chairman Past Chair SecretarySeishi Ninomiya Fedro Zazueta Gerhard Schiefer





005

VenueNational Training Institute of Farmers’ Organizations

(Tianmu Convention Center)

Address: No.113, Sec. 7, Zhongshan N. Rd., Shilin

Dist., Taipei 11156, Taiwan

Tel: +886-2-2876-2676

SecretariatRoom 101, 1st Floor, Tianmu Convention Center

Opening Hours 09:00-18:00, September 3, 2012

08:30-17:00, September 4, 2012

08:30-18:00, September 5, 2012

Internet & Preview Room5th Floor, Tianmu Convention Center


08:30-17:00, September 4, 2012

08:30-15:30, September 5, 2012

Poster AreaRoom 101, 1st Floor, Tianmu Convention Center

Opening Hours09:00-18:00, September 3, 2012

08:30-17:00, September 4, 2012

08:30-15:30, September 5, 2012

Exhibition AreaLobby, 1st Floor, Tianmu Convention Center

Opening Hours09:00-18:30, September 3, 2012

08:30-17:00, September 4, 2012

08:30-15:30, September 5, 2012

Conference InformationRegistration Lobby, 1st Floor, Tianmu Convention Center


08:30-17:00, September 4, 2012

08:30-15:30, September 5, 2012

For on-site registration, payment must be made in CASH

(NTD / USD) ONLY.

Name BadgesAll participants will be issued with a name badge at

registration. For identification purposes, participants are

strongly requested to wear badges at all times whilst in the

venue.

Message BoardOfficial Information and Message Board will be installed

near the registration counter. Message will be taken during

registration hours. Please check the message board for

conference announcements and to receive your messages.

Lunch BreakThe lunch break will be run between 12:10 to 13:40 in the

restaurant at the B1 Floor of Tianmu Convention Center from

September 3 to 5, tatal 3 days. No complimentary lunch will

be provided throughout the conference.

Surrounding Dining InformationTaipei is a gourmet paradise offering many various cuisines

from world famous Chinese cuisines to Western fast foods

and even other international cuisines. You may find all kinds

of food services at nearby area. General opening hours for

shops or restaurants are 11:00~22:00.

InsuranceThe Organizer is not responsible for the insurance of

participants against personal injuries, sickness, theft or

property damage incurred during the conference. Concerned

participants should obtain insurance coverage for protection.



006



Floor Maps

Stairway to 2F, Hall

Main Gate

Guard-room

Hall

1

1

2Room 101

Lobby

3

4

4

Hotel Counter

Room 101- Secretariat & Poster Area

Lobby- Registration

Lobby- Exhibition

1

2

3

4

Hall- Opening Ceremony & Keynote1

Hallway

1Room 5022

3Room 503

4Room 504

5Room 505

Room 502- Seminar

Internet & Preview Room

Room 503- Seminar

Room 504- Seminar

Room 505- Seminar

1

2

3

4

5

1st Floor

2nd Floor





007

Stairway to 2F, Hall

Main Gate

Guard-room

Hall

1

1

2Room 101

Lobby

3

4

4

Hotel Counter

Room 101- Secretariat & Poster Area

Lobby- Registration

Lobby- Exhibition

1

2

3

4

Hall- Opening Ceremony & Keynote1

Hallway

1Room 5022

3Room 503

4Room 504

5Room 505

Room 502- Seminar

Internet & Preview Room

Room 503- Seminar

Room 504- Seminar

Room 505- Seminar

1

2

3

4

5

5th Floor



008



Venue Map

Tianmu Convention

Center

Wendel’sBakery &

Bistro

Tianmu BaseballStadium

Zhishan Station

MingdeStation

ShipaiStation

Donghua Bridge

Fuhua Rd

Zhenhua St

Min

gde Rd

Min

gde

Rd

Keqiang Rd

Sectio

n 2 Shipai R

d

Tianmu West Rd Tianmu East Rd

Wenlin Rd Dexing W

est Rd

Fuguo Rd

Sect

ion

6 Zh

ongs

han

Nor

th R

d

Sect

ion

7 Zh

ongs

han

Nor

th R

d

Dexing East Rd

Dexing East Rd

Shidong Rd

Shidong Rd

Section 1 Zhongch

eng R

d

Sect

ion

2 Z

hong

chen

g Rd





009

Traffic InstructionTaiwan TaoYuan International Airport:Taipei Buses

DescriptionWhere to buy bus tickets:Terminal 1 Bus Platform: On the south side of the B1 floor.Terminal 2 Bus Platform: On the North side of the First floor.

Kuokuang Line [1819 to Taiwan Railways Station ] to Taipei School for the Hearing Impaired Stop and then take a taxi to Tianmu Convention Center. The taxi fare is about NT$ 220.

StopsTaiwan Taoyuan International Airport Taiwan Railways Station Taoyuan International Airport, Taipei School for the Hearing Impaired, Kulun St., Taiwan Architecture Park, Fortuna Hotel, Ambassador Hotel, Taiwan Railways Station.

Fare Adult NT$125/Child NT$65/Round-Trip NT$230Interval 15-20(minutes)

Service HoursTaiwan Taoyuan International Airport : 05:40-01:30 (03:00 Extra Bus)Taiwan Railway Administration : 04:30-23:50

Driving Distance 55 minutesEvergreen Bus [5201] to Taipei School for the Hearing Impaired Stop and then take a taxi to Tianmu Convention Center. The taxi fare is about NT$ 220.

Stops

Taiwan Taoyuan International Airport Taipei Taipei School for the Hearing Impaired, Cheng Yuan High School, Shuanglian MRT station, Evergreen Marine Corp., Xing’an Public Housing, Nanjing E. Rd.MRT station, Fuxing S. Rd., Zhongxiao Fuxing MRT station, Zhongxiao Xinsheng MRT station, Evergreen International Hotels, Leofoo Hotel, Songjiang Community

Fare Adult NT$150/Child NT$75Interval 15-20 minutes

Service HoursTo Taiwan Taoyuan International Airport : 06:00-00:30CYC Center (Evergreen Marine Building) to Taiwan Taoyuan International Airport : 05:00-23:00

Driving Distance 50 minutes to 60 minutes

Taipei SongShan Airport:Take a taxi from airport to Tianmu Convention Center. The taxi fare is about NT$ 250.

Taipei Main Station:MRT Tamsui Line from Taipei Main Station to Zhishan Station and then take a taxi to Tianmu Convention Center . The taxi fare is about NT$ 100.

Stops Taipei Main Station Tamsui Zhongshan, Shuanglian, Minquan W. Rd., Yuanshan, Jiantan, Shilin, Zhishan, Mingde, Shipai, Qilian, Qiyan, Beitou, Fuxinggang, Zhongyi, Guandu, Zhuwei, Hongshulin, Tamsui

Fare NT$25Interval 5-10 minutes Service Hours 06:00 ~ 24:00Driving Distance 15 minutesTake a taxi from Taipei Main Station to Tianmu Convention Center. The taxi fare is about NT$ 280.



010



Conference LunchDate Monday-Wednesday, September 3-5, 2012Time 12:10-13:40Location B1 Floor, Tianmu Convention Center

Welcome ReceptionDate Monday, September 3, 2012Time 18:00-19:30Location B1 Floor, Tianmu Convention Center

Social DinnerDate Wednesday, September 5, 2012Time 18:00-20:00Location Wendel's German Bakery & Bistro (No.5, Dexing W. Rd., Shilin Dist., Taipei City 111, Taiwan)

RemarksShuttle from Tianmu Convention Center to Wendel’s German Bakery & Bistro: 17:30, 1F Lobby

Shuttle from Wendel’s German Bakery & Bistro to Tianmu Convention Center: 20:40

Field TripTour ADate Thursday, September 6, 2012Time 09:30-16:00Route Tianmu Convention Center → National Palace Museum → Lunch → Shilin Official Residence →

Tianmu Convention CenterRemarks 1. Shuttle will be provided at the conference venue at 09:30

2. Lunch will be provided

Tour BDate Thursday, September 6, 2012Time 07:50-18:00Route Tianmu Convention Center → Taiwan High Speed Rail → Taiwan Agricultural Research Institute →

Lunch → Wu-Feng Farmer’s Association → National Taiwan Craft Research and Development Institute → Taiwan High Speed Rail → Tianmu Convention Center

Remarks 1. Shuttle will be provided at the conference venue at 07:502. Lunch will be provided

Social Program





011

Bank, Currency, Credit CardsThe currency is the New Taiwan Dollar (NTD). The exchange rate in recent months is around NT$30 for US$1. Foreign

currencies can be exchanged at hotels, airports and government-designated banks. Major credit cards are widely

accepted, and traveler’s checks may also be accepted by tourist-oriented shops, hotels and banks.

TippingA 10% service charge is automatically added to room rates and meals. All other tipping is optional.

ElectricityTaiwan uses electric current of 110 volts at 60 cycles, appliances from Europe, Australia or South-East Asia will need an

adaptor or transformer. Many buildings have sockets with 220 volts especially for the use of air conditioners.

Travel in TaiwanAirport Express BusAirport express bus between the Taoyuan International Airport and the Grand Hyatt Taipei (nearest hotel by the

conference venue) is available through Air Bus East Line, and the cost is NT$145 for one way ticket.

TaxiTaxi in Taipei charges are NT$70 for the first 1.25 km and NT$5 for each additional 250 meters. An additional NT$5 is

charged for every two minutes of waiting, and a 20% surcharge is added to fares between 11 p.m. and 6 a.m. Airport

Taxis charge according to the meter plus a 15% surcharge (highway tolls not included). Typical fare to Taipei is around

NT$1,200. Most drivers do not speak English, so it is a good idea to have hotel personnel write both your destination

and your hotel’s name and address in Chinese, along with the projected cost of each one-way trip.

MRT Travel to the conference venue by Mass Rapid Transit (MRT) is available through the Metro Taipei Banqiao Nangang

Line (Blue Line). The nearest station is the Taipei City Hall Station (Exit No.2). Single journey ticket ranges from NT$20

to NT$65 depending on traveling distance. MRT operating hours are 06:00~24:00. For further information on Metro

Taipei and schedule, please visit the Metro Taipei website. http://www.trtc.com.tw

City BusA single section fare for city bus is NT$15. Pay upon boarding or departure according to the instructions. For further

information on bus route and schedule, please visit the Taipei e-bus System website. http://www.e-bus.taipei.gov.tw/

Taiwan High Speed Rail

The most convenient way to travel from Taipei City to Kaohsiung City is by the Taiwan High Speed Rail (THSR). An

express train that is capable of running up to 300 km/h in 90 minutes. For further information on THSR route and

schedule, please visit Taiwan High Speed Rail website. http://www.thsrc.com.tw

Useful Phone NumbersTaiwan Taoyuan International Airport

Tourism Bureau

Foreign Affairs Division, Taipei Office

Emergency Service

+886-3-398-3728

+886-2-2349-1500

+886-2-2348-2999

110

General Information



012



Taipei Metro Route Map





013

Shilin Night Market is the one of the largest night markets in Taipei. Shilin Market is

famous for various snacks and eatery. Many visitors have come to Shilin Night Market to

enjoy the delicious foods, such as large pancake enfolding small pancake, hot pot on stone

or Shilin sausage. Shilin Night Market has become a renowned place for great foods.

Address: Between end of Wenlin Rd., Jihe Rd. and Zhongshan N. Rd.

MRT: Take the MRT and exist at the Jiantan Stop.

Guanghua Market is the place to go in Taipei for computer equipment and other

electronic gadgets, with over a hundred shops selling the high-tech items. In addition to

computers and other electronic peripherals, the market also sells branded sportswear and

athletic gear, DVDs and CDs, posters, PC and console games, books, stereo equipment,

mobile phones and more. The market is known for its wide variety, low prices and

convenient comparison shopping, making it a magnet for budget-minded student

shoppers.

Address: No.77, Jinshan N. Rd., Jhongjheng District, Taipei City

MRT: Take the MRT and exist at Zhongxiao Xinsheng Station (Exit 1) then walk about 5

minute towards Civic Blvd.

The National Palace Museum houses the world’s largest collection of priceless Chinese

art treasures, one which spans China’s nearly 5,000-year history. Most of the museum’s

620,000 art objects were part of the Chinese imperial collection, which began over 1,000

years ago in the early Song dynasty.

Address: No.221, Sec. 2, Zhishan Rd., Shilin District, Taipei City

MRT: Take the MRT to the Shilin Station and take bus R30 (Red 30) to the National Palace

Museum.

Chiang Kai-shek Memorial Hall is located in the heart of Taipei City. The area is 250,000

square meters and it is the attraction most visited by foreign tourists. Outside the gate of

Chiang Kai-shek Memorial Hall, there are poles carrying the sign of true rightness. The

architecture of Chiang Kai-shek Memorial Hall is inspired by Tientam in Beijing. The four

sides of the structure are similar to those of the pyramids in Egypt.

Address: No.21, Zhongshan S. Rd., Zhongzheng District, Taipei City

MRT: Take the MRT and exist at CKS Memorial Hall (Exit 5).

Sightseeing



014



Longshan Temple is a famous old temple in Taiwan for worshiping Guanshiyin Budda

and other divine spirits. Its architecture is a three-section design in shape built in Qianlong

5th year in Qing Dynasty. On each 1st and 15th day each month of lunar year, regular

visitors will come to the temple for worship ceremony. Longshan Temple is not only a

temple, a sightseeing attraction, but also a second-degree historical site.

Address: No. 211, Guangzhou St., Wanhua District, Taipei City

MRT: Take the MRT and exist at Longshan Temple Station.

Taipei 101, with a mass of shops on the lower floors, incorporating many top brands

under the LVMH group, such as Louis Vuitton, Dior, Celine, etc. The fourth floor houses

the Page One bookstore from Singapore, with the highest-roofed coffee house in Taipei

and many fine restaurants.

Address: 89F, No. 7, Sec. 5, Xinyi Rd., Xinyi District, Taipei City

MRT: Take the MRT and exist at Taipei City Hall Station then walk about 5 minute towards

Xinyi Shopping District.

Maokong Gondola is located in the southern tip of Taipei City, and the system began

operation in July 2007. Since then it has evolved into a favorite tourist destination for

locals and visitors. It is Taipei City’s first high-altitude gondola. This French POMA-made

system makes a circuit of four stations: Taipei Zoo Station, Taipei Zoo South Station,

Zhinan Temple Station, and Maokong Station.

Address: Sec. 2, Xinguang Rd., Wenshan District, Taipei City

MRT: Take the MRT and exist at Taipei Zoo.





015

Program at-a-Glance3-Sep 4-Sep 5-Sep 6-Sep

Registration 08:30~17:00 Registration 08:30~15:30

Registration 9:00~18:30

9:00~10:40 B1, Seminar Room Workshop (3)- KM & DSS Chair: Gerhard Schiefer

Naoshi Kondo, Japan Kuan Chong Ting, USA Suming Chen, Taiwan

Flora Hu, Taiwan

9:00~10:40 B1, Seminar Room Workshop (4)- ICT Training and Education

Chair: Fedro Zazueta Tran Viet Khanh, Vietnam

Chih-Hung Tan, Taiwan Saravanan Raj, India

Jiannong Xin, USA

Field Trip (A) National Palace

Museum + Shilin Official Residence

09:30~16:00 (B) Taiwan Agricultural

Research Institute +Wu-Feng Farmer’s

Association+National Taiwan Craft

Research and Development Institute

07:50-18:00

10:00~10:30 2F, Hall Opening Ceremony

10:30~11:20 2F, Hall Keynote (1)

Bao-Ji Chen, Taiwan San-Cheng (Simon) Chang,

Taiwan

Coffee Break 10:40~11:10 Coffee Break 10:40~11:10

11:10~12:10 5F, Room 502

Seminar 1 e-Agricultural

Services (1)

11:10~12:10 5F, Room 503

Seminar 2 GIS

Applications (1)

11:10~12:10 5F, Room 504

Seminar 3 Artificial

Intelligence & Robotics

11:10~12:10 5F, Room 505

Seminar 4 e-Government

(Mandarin)

11:10~12:10 5F, Room

502 Seminar 13

Data Mining

11:10~12:10 5F, Room 503 Seminar 14

e-Agricultural Services (2)

11:10~12:10 5F, Room 504 Seminar 15

GIS Applications

(2)

11:20~12:10 2F, Hall Keynote (2)

Darryl Chantry, Australia

12:10~13:40 Lunch

12:10~13:40 4F, Room 410 AFITA Board Meeting

Lunch

12:10~13:40 Lunch

13:40~15:20 B1, Seminar Room

Workshop (1)- Sensor Research

Chair: Joe-Air Jiang Takaharu Kameoka, Japan

Cheng-Long Chuang, Taiwan Yung-Chung Wang, Taiwan

Takuji Kiura, Japan

13:40~1500 5F, Room 502

Seminar 5 Modeling &

Simulation (1)

13:40~1500 5F, Room 503

Seminar 6 Sensor

Research (1)

13:40~1500 5F, Room 504

Seminar 7 ICT Adoption

13:40~1500 5F, Room 505

Seminar 8 Decision

Support Systems (1)

(Mandarin)

13:40~1500 5F, Room

502 Seminar 16 Computer

Based Data Analysis

13:40~1500 5F, Room 503 Seminar 17

ICT Adoption & Education

13:40~1500 5F, Room 504 Seminar 18

Sensor Research (2)

Coffee Break 15:00~15:30 Coffee Break 15:00~15:30

Coffee Break 15:20~15:5015:30~16:50 5F, Room 502

Seminar 9 Standardization

& Interoperability

15:30~16:50 5F, Room 503 Seminar 10

Decision Support

Systems (2)

15:30~16:50 5F, Room 504 Seminar 11

Applications for Agriculture

(1)

15:30~16:50 5F, Room 505 Seminar 12

Sensor & RFID Applications (Mandarin)

15:30~16:50 5F, Room

502 Seminar 19

Nature Protection

15:30~16:50 5F, Room 503 Seminar 20

Applications for Agriculture

(2)

15:30~16:50 5F, Room 504 Seminar 21 Modeling & Simulation

(2)

15:50~17:30 B1, Seminar Room

Workshop (2)- GIS Chair: Seishi Ninomiya

Bruno Basso, Italy Tien-Yin Chou, Taiwan

Mark Chen, Taiwan Satoshi Sekiguchi, Japan

16:50~17:20 Closing Ceremony/AFITA General

Assembly

18:00~19:30 Welcome Reception 18:00~20:00

Social Dinner



016



Monday, September 3, 201210:00-10:30 Opening Ceremony 2F, Hall

10:30-11:20 Keynote (1) 2F, HallKeynote (1)-01 The Challenges and Opportunities of Agriculture in the 21st Century

Bao-Ji Chen, Council of Agriculture, Executive Yuan (Taiwan)

Keynote (1)-02 Cloud Computing and Agriculture- The Taiwan Adventure

San-Cheng (Simon) Chang, Executive Yuan (Taiwan)

11:20-12:10 Keynote (2) 2F, HallKeynote (2)-01 Cloud Computing in the Real World- Sharing of Experiences and Ideas

Darryl Chantry, Datacenter & Private Cloud Centre of Excellence, Microsoft Corporation

(Australia)

13:40-15:20 Workshop (1)- Sensor Research B1, Seminar RoomChair: Joe-Air Jiang, National Taiwan University (Taiwan)Workshop (1)-01 A Sensing Approach to Fruit-Growing

Takaharu Kameoka, Mie University (Japan)

Workshop (1)-02 ICT in e-Agriculture- Case Study

Yung-Chung Wang, National Taipei University of Technology (Taiwan)

Workshop (1)-03 Global Agricultural Cloud a Dream?

Takuji Kiura, National Agriculture and Food Research Organization (Japan)

Workshop (1)-04 Connecting the Mud to the Cloud- Smart Agriculture

Cheng-Long Chuang, National Taiwan University (Taiwan)

15:50-17:30 Workshop (2)- GIS B1, Seminar RoomChair: Seishi Ninomiya, University of Tokyo (Japan)Workshop (2)-01 Quantifying the Odds in Decision Making in Agriculture

Bruno Basso, University of Basilicata (Italy)

Workshop (2)-02 Real-Time Spatial Information and the Integration Applications of Agriculture Management

Tien-Yin Chou, Feng Chia University (Taiwan)

Workshop (2)-03 Taiwan Agriculture Planting and Marketing Information Cloud Computing

Mark Chen, International Integrated Systems, Inc. (Taiwan)

Workshop (2)-04 GEO Grid: Activities and Direction

Satoshi Sekiguchi, The National Institute of Advanced Industrial Science and Technology (Japan)





017

Tuesday, September 4, 201209:00-10:40 Workshop (3)- KM & DSS B1, Seminar RoomChair: Gerhard Schiefer, University of Bonn (Germany)Workshop (3)-01 Intelligence Empowered Agriculture and Food System

Kuan Chong Ting, University of Illinois at Urbana-Champaign (USA)

Workshop (3)-02 Key Technologies in Precision Livestock and Aquaculture

Naoshi Kondo, Kyoto University (Japan)

Workshop (3)-03 Precision Cultivation in Greenhouse

Suming Chen, National Taiwan University (Taiwan)

Workshop (3)-04 Innovative Application of IT Knowledge Management at the Taiwan Public Agriculture Sector

Flora Hu, Galaxy Software Services Corporation (Taiwan)

11:10-12:10 Seminar (1)- e-Agricultural Services (1) 5F, Room 502Chair: Gerhard Schiefer, University of Bonn (Germany)Seminar (1)-01 Strategy and Concept of Open Cloud Application Platform in Agriculture

Masayuki Hirafuji, Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization (Japan) Yasuyuki Hamada, Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization (Japan) Tomokazui Yoshida, Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization (Japan) Atsushi Itho, Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization (Japan) Takuji Kiura, NARO Agricultural Research Center, National Agriculture and Food Research Organization (Japan)

Seminar (1)-02 ICT Intervened Agri Advisory Services: A Comparative Study of Four Projects from IndiaKasina V. Rao, SJM School of Management, Indian Institute of Technology Bombay (India) Krithi Ramamritham, Department of Computer Science & Engineering, Indian Institute of Technology Bombay (India) Rajendra M. Sonar, SJM School of Management, Indian Institute of Technology Bombay (India)

Seminar (1)-03 eAgromet: A Prototype of an IT-Based Agro-Meteorological Advisory System

P.Krishna Reddy, IT for Agriculture and Rural Development Research Center (India)B.Bhaskar Reddy, IT for Agriculture and Rural Development Research Center (India)P.Gowtham Sreenivas, IT for Agriculture and Rural Development Research Center (India)M. Kumaraswamy, IT for Agriculture and Rural Development Research Center (India)D.Raji Reddy, Agro Climate Research Center, Acharya NG Ranga Agricultural University (India)G. Sreenivas, Agro Climate Research Center, Acharya NG Ranga Agricultural University (India)M. Mahadevaiah, Agro Climate Research Center, Acharya NG Ranga Agricultural University (India)L.S. Rathore, India Meteorological Department (India)K.K. Singh, India Meteorological Department (India)N. Chattopadhyay, India Meteorological Department (India)



018



Seminar (1)-04 Constructing an Asian Pacific Plant Seedlings Industrial Information Service Platform

Ming-Shu Yuan, Department of Information and Communications, Shih Hsin University (Taiwan)Ming-Yenn Chou, Taiwan Seed Improvement and Propagation Station, Council of Agriculture, Executive Yuan (Taiwan)Shao-Peng Huang, Taiwan Seed Improvement and Propagation Station, Council of Agriculture, Executive Yuan (Taiwan)Tso-Chi Yang, Taiwan Seed Improvement and Propagation Station, Council of Agriculture, Executive Yuan (Taiwan)Yu-Ching Tsai, Taiwan Seed Improvement and Propagation Station, Council of Agriculture, Executive Yuan (Taiwan)

11:10-12:10 Seminar (2)- GIS Applications (1) 5F, Room 503Chair: Seishi Ninomiya, University of Tokyo (Japan)Seminar (2)-01 Application Software Designed to Create Paddy Field Maps Using “Raster-to-Vector

Conversion＂

Taimei Okada, Agroinformatics Division, NARO Agricultural Research Center, Faculty of Environment and Information Sciences, Yokohama National University (Japan)Tomokazu Yoshida, Agroinformatics Division, NARO Agricultural Research Center (Japan)Tomoharu Nagao, Faculty of Environment and Information Sciences, Yokohama National University (Japan)

Seminar (2)-02 Agricultural ICT Infrastructure- Prerequisite for Agro-Forest Management- In Any Country

Walter Mayer, PROGIS Software GmbH (Austria)

Seminar (2)-03 GIS and Remote Sensing Applications in Natural Resources Management in Bangladesh

M. A. Zaman, Department of Farm Power and Machinery, Bangladesh Agricultural University (Bangladesh)

Seminar (2)-04 Soil Survey Database in Taiwan

Chu-Chung Chen, Agricultural Chemistry Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Horng-Yuh Guo, Agricultural Chemistry Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan)

11:10-12:10 Seminar (3)- Artificial Intelligence & Robotics 5F, Room 504Chair: Kuan Chong Ting, University of Illinois at Urbana-Champaign (USA)Seminar (3)-01 Navigo- A Field Robot for Small Farms

Ariangelo Hauer Dias Ariangelo, Department of Informatics, State University of Ponta Grossa (Brazil)Anderson Estevam da Rosa Anderson, Department of Informatics, State University of Ponta Grossa (Brazil)Daurimar Mendes da Silva Daurimar, Department of Informatics, State University of Ponta Grossa (Brazil)Idomar Augusto Cerutti Idomar, Department of Informatics, State University of Ponta Grossa (Brazil)Ivo Mário Mathias Ivo, Department of Informatics, State University of Ponta Grossa (Brazil)

Seminar (3)-02 User Interface Design Principles for Robotics in Agriculture: The Case of Telerobotic Navigation and Target Selection for Spraying





019

George Adamides, Information and Communications Systems, Open University of Cyprus, Agricultural Research Institute (Cyprus)Ron Berenstein, Department of Industrial Engineering and Management, Ben-Gurion University of the Negev (Israel)Idan Ben Halevi, Department of Industrial Engineering and Management, Ben-Gurion University of the Negev (Israel)Thanasis Hadzilacos, Information and Communications Systems, Open University of Cyprus (Cyprus)Yael Edan, Department of Industrial Engineering and Management, Ben-Gurion University of the Negev (Israel)

Seminar (3)-03 The Supervised Multi-Agent Systems for a Closed-House Based Broiler Industry

Kudang Boro Seminar, Department of Mechanical & Biosystem Engineering, Bogor Agricultural University (IPB) (Indonesia)Alimuddin Alimuddin, Department Of Electrical Engineering, University Of Sultan Ageng Tirtayasa (Untirta) (Indonesia)I Dewa Made Subrata, Department of Mechanical & Biosystem Engineering, Bogor Agricultural University (IPB) (Indonesia)Sumiati Sumiati, Department of Nutrition & Feed Technology, Bogor Agricultural University (IPB) (Indonesia)

Seminar (3)-04 Towards Effective Extraction of Green Fractional Vegetative Cover from Plant Images Taken under Natural Light

Wei Guo, Institute for Sustainable Agro-ecosystem Services, Graduate School of Agricultural and Life Sciences, The University of Tokyo (Japan)R. Uday Kiran, Institute of Industrial Science ,The University of Tokyo (Japan)Seishi Ninomiya, Institute for Sustainable Agro-ecosystem Services, Graduate School of Agricultural and Life Sciences, The University of Tokyo (Japan)

11:10-12:10 Seminar (4)- e-Government 5F, Room 505Chair: Yao-Chin Lin, Yuan Ze University (Taiwan)Seminar (4)-01 Integrated Information System for High-Quality Crop Production

Chun-Tang Lu, Taiwan Agricultural Research Institute (TARI), Council of Agriculture, Crop Science Division (Taiwan)Hsiu-Ying Lu, Taiwan Agricultural Research Institute (TARI), Council of Agriculture, Crop Science Division (Taiwan)Meng-Li Wei, Taiwan Agricultural Research Institute (TARI), Council of Agriculture, Crop Science Division (Taiwan)

Seminar (4)-02 Establishment of Production Management System for Important Fruits

Guo-Shiang Hwang, Agricultural Engineering Division, Taiwan Agricultural Research Institute (Taiwan)Jyh-Rong Tsay, Secretary General office, Taiwan Agricultural Research Institute (Taiwan)Shou-Hung Chen, Department of Geology, Chinese Culture University (Taiwan)



020



Yung-Shing Teng, Fengshan Tropical Horticultural Experiment Branch, Taiwan Agricultural Research Institute (Taiwan)Chi-Cho Huang, Fengshan Tropical Horticultural Experiment Branch, Taiwan Agricultural Research Institute (Taiwan)

Seminar (4)-03 Implementation and Application of the Geographic Information System for the Horticultural Crop Wild Relatives

Shu-Fen Chang, Chiayi Agricultural Experiment Station, Taiwan Agricultural Research Institute (Taiwan)Hui-Lung Chiu, Division of Plant Germplasm, Taiwan Agricultural Research Institute (Taiwan)Wen-Liang Chiou, Division of Plant Germplasm, Taiwan Agricultural Research Institute (Taiwan)Chien-Wen Chen, Division of Plant Germplasm, Taiwan Agricultural Research Institute (Taiwan)

Seminar (4)-04 Development of Fisheries Information Systems for the Fisheries Research Institute of Taiwan

Ya-Ke Hsu, Planning and Information Division, Fisheries Research Institute (Taiwan)Shih-Chin Chen, Planning and Information Division, Fisheries Research Institute (Taiwan)Chi-Yuan Lin, Planning and Information Division, Fisheries Research Institute (Taiwan)Chen-Te Tseng, Planning and Information Division, Fisheries Research Institute (Taiwan)Kao-Sung Chen, Planning and Information Division, Fisheries Research Institute (Taiwan)

Seminar (4)-05 Computer Simulation of the Control Timing Against Spodoptera Litura (Fabricus) in Groundnut Field During Different Seasons

Shu-Jen Tuan, Department of Entomology, National Chung Hsing University (Taiwan)Chung-Chieh Lee, Department of Entomology, National Chung Hsing University (Taiwan)

13:40-15:00 Seminar (5)- Modeling & Simulation (1) 5F, Room 502Chair: Abbas Ahmadi, University of California Davis (USA)Seminar (5)-01 Agroforestry- Exploring a Mitigation Option for Nitrogen Pollution in Cropping Systems of the

North China Plain

Jirko Holst, Computer Applications and Business Management in Agriculture, Faculty of Agricultural Sciences, University of Hohenheim (Germany)Wenping Liu, College of Resources and Environmental Sciences, China Agriculture University (China)He Xiao, College of Resources and Environmental Sciences, China Agriculture University (China)Zhenrong Yu, College of Resources and Environmental Sciences, China Agriculture University (China)Reiner Doluschitz, Computer Applications and Business Management in Agriculture, Faculty of Agricultural Sciences, University of Hohenheim (Germany)

Seminar (5)-02 Toward the Construction of an Evaluation System for the Effects of Climate Change on Agriculture in the Asian Monsoon Region

Kei Tanaka, Agroinformatics Division, NARO Agricultural Research Center (NARO/ARC) Japan (Japan)Takuji Kiura, Agroinformatics Division, NARO Agricultural Research Center (NARO/ARC) Japan (Japan)Hiroe Yoshida, Agroinformatics Division, NARO Agricultural Research Center (NARO/ARC) Japan (Japan)





021

Seminar (5)-03 Modelling the Production Potential of Chinese Cabbage in the North China Plain

Til Feike, Institute of Crop Science, Universität Hohenheim (Germany)Sebastian Munz, Institute of Crop Science, Universität Hohenheim (Germany)Qing Chen, College of Natural Resources and Environmental Sciences, China Agricultural University (China)Simone Graeff-Hönninger, Institute of Crop Science, Universität Hohenheim (Germany)Wilhelm Claupein, Institute of Crop Science, Universität Hohenheim (Germany)Reiner Doluschitz, Institute of Farm Management, Universität Hohenheim (Germany)

Seminar (5)-04 Validation and Perfecting of Rapeseed Growth Models in Nanjing

Hongxin Cao, Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agriculture, Jiangsu Academy of Agricultural Sciences (China)Yan Liu, Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agriculture, Jiangsu Academy of Agricultural Sciences (China)Wenyu Zhang, Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agriculture, Jiangsu Academy of Agricultural Sciences (China)Daokuo Ge, Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agriculture, Jiangsu Academy of Agricultural Sciences (China)Yanbin Yue, Institute of Agricultural Sci-tech Information, Guizhou Academy of Agricultural Sciences (China)Yongxia Liu, Institute of Banana and Plantain/Haikou Experimental Station, Chinese Academy of Tropical Agricultural Sciences (China)Jinying Sun, Agricultural Technological Extensive Station of Luntai County in Xinjiang (China)Zhiyou Zhang, Institute of Agricultural Sci-tech Information, Hunan Academy of Agricultural Sciences (China)Yuli Chen, Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agricul , Jiangsu Academy of Agricultural Sciences (China)Weixin Zhang, Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agricul , Jiangsu Academy of Agricultural Sciences (China)Na Liu, Center for China Meteorological Information, China Meteorological Bureau (China)

Seminar (5)-05 A Study on the Relationship between the Number of Oriental Fruit Fly (Bactrocera Dorsalis (Hendel)) Trap Catches and the Rate of Fruit Damage

Li-Hsin Huang, Pesticide Application Division, Taiwan Agricultural Chemicals and Toxic Substances Research Institute (Taiwan)Wen-Hua Chen, Department of Plant Medicine, National Pingtung University of Science and Technology (Taiwan)Mei-Chueh Lin, Pesticide Application Division, Taiwan Agricultural Chemicals and Toxic Substances Research Institute (Taiwan)Wen-Ying Su, Pesticide Application Division, Taiwan Agricultural Chemicals and Toxic Substances Research Institute (Taiwan)



022



13:40-15:00 Seminar (6)- Sensor Research (1) 5F, Room 503Chair: Takuji Kiura, National Agriculture and Food Research Organization (Japan)Seminar (6)-01 Rice Growth Monitoring and Yield Forecasting by Disaggregating Moderate Resolution

Imaging Spectroradiometer (MODIS) Data

Yi-Ping Wang, Department of Soil and Environmental Sciences, National Chung-Hsing University (Taiwan)Chun-Shien Wu, Department of Soil and Environmental Sciences, National Chung-Hsing University (Taiwan)Pei-Lin Lee, Department of Soil and Environmental Sciences, National Chung-Hsing University (Taiwan)Yuan Shen, Department of Soil and Environmental Sciences, National Chung-Hsing University (Taiwan)

Seminar (6)-02 Survey of Agricultural Ponds in Taoyuan Plateau by Satellite Imagery and Air Photography

Chih-Hung Tan, Resources Division, Agricultural Engineering Research Center (Taiwan)Chia-Sheng Hsu, Engineering Division, Hsin Chu Irrigation Association (Taiwan)Li Chen, Civil Engineering Department, Chung Hua University (Taiwan)

Seminar (6)-03 Design of Wireless Monitoring and Image Capturing System based on ZigBee for Agricultural Greenhouse

Wen-Yaw Chung, Department of Electronics Engineering, Chung Yuan Christian University (Taiwan)Chien-Lin Chen, Department of Electronics Engineering, Chung Yuan Christian University (Taiwan)

Seminar (6)-04 Geo-Locational Sensor Based Services in Agriculture

Adinarayana Jagarlapudi, Centre of Studies in Resource Engineering, Indian Institute of Technology Bombay (India)S.A. Sawant, Centre of Studies in Resource Engineering, Indian Institute of Technology Bombay (India)S.S. Durbha, Centre of Studies in Resource Engineering, Indian Institute of Technology Bombay (India)A.K. Tripathy, Centre of Studies in Resource Engineering, Indian Institute of Technology Bombay (India)

Seminar (6)-05 A Decision Making Framework for Developing Agricultural Wireless Sensor Network Systems

Mohammad Fajar, Department of Advanced Information Technology, Graduate School of Information Science and Electrical Engineering, Kyushu University (Japan)Tsuneo Nakanishi, Department of Advanced Information Technology, Faculty of Information Science and Electrical Engineering, Kyushu University (Japan)Kenji Hisazumi, System LSI Research Center, Kyushu University (Japan)Akira Fukuda, Department of Advanced Information Technology, Faculty of Information Science and Electrical Engineering, Kyushu University (Japan)





023

13:40-15:00 Seminar (7)- ICT Adoption 5F, Room 504Chair: Tien-Yin Chou, Feng Chia University (Taiwan)Seminar (7)-01 e-Initiative for Agricultural Extension: Browsing for Logout?

Saravanan Raj, School of Social Sciences, College of Post Graduate Studies, Central Agricultural University (CAU) (India)

Seminar (7)-02 An Assessment of Farmer＇s Information Networks in India- Role of Modern ICT

Surabhi Mittal, International Maize and Wheat Improvement Center (CIMMYT) India (India)Mamta Mehar, International Maize and Wheat Improvement Center (CIMMYT) India (India)

Seminar (7)-03 A Centralized Subscription and Clientele Management System for Agricultural Extension Programs

Jiannong Xin, Office of Information Technology, University of Florida/IFAS (United States)Haufeng Jin, Department of Computer Science, University of Florida (United States)Pete Vergot III, University of Florida/IFAS Extension (United States)Theresa Friday, Santa Rosa County, University of Florida/IFAS (United States)

Seminar (7)-04 Information Technology Adoption in Indonesian Agriculture and Agribusiness

Setyo Pertiwi, Department of Mechanical and Biosystem Engineering, Bogor Agricultural University (Indonesia)

Seminar (7)-05 Youth Mediated Communication (YMC)- Agricultural Technology Transfer to Illiterate Farmers through Their Children

Yumi Mori, NPO Pangaean (Japan)Toshiya Takasaki, NPO Pangaean (Japan)Yasukazu Okano, NPO Pangaean (Japan)Tran Ngan Thi Ngan Hoa, Ministry of Agriculture and Rural Development, Vietnam (Vietnam)Takaharu Kameoka, Graduate School of Bioresources, Mie University (Japan)Takashi Togami, Graduate School of Bioresources, Mie University (Japan)Kyoshuke Yamamoto, Graduate School of Bioresources, Mie University (Japan)Akane Takezaki, National Agricultural Research Center (Japan)Ryoich Ikeda, Tokyo University of Agriculture (Japan)Toru Ishida, Kyoto University (Japan)Donghui Lin, Kyoto University (Japan)Seishi Ninomiya, Institute for Sustainable Agro-ecosystem Services, The University of Tokyo (Japan)

13:40-15:00 Seminar (8)- Decision Support Systems (1) 5F, Room 505Chair: Hwang-Jaw Lee, Chien Hsin University of Science and Technology (Taiwan)Seminar (8)-01 Agricultural Weather Inquiry System

Ming-Hwi Yao, Agricultural Engineering Division, Taiwan Agricultural Research Institute (Taiwan)Chun-Jen Chen, Agricultural Engineering Division, Taiwan Agricultural Research Institute (Taiwan)



024



Seminar (8)-02 Establishment of the Rational Fertilization Promotion Website

Tsang-Sen Liu, Division of Agricultural Chemistry, Taiwan Agricultural Research Institute (Taiwan)Yu-Wen Lin, Division of Agricultural Chemistry, Taiwan Agricultural Research Institute (Taiwan)Horng-Yuh Guo, Division of Agricultural Chemistry, Taiwan Agricultural Research Institute (Taiwan)

Seminar (8)-03 Study on Management Support System of Crops of Taiwan

Shi-Hua Yang, Agricultural Economics Division, Taiwan Agricultural Research Institute (Taiwan)Chun-Tang Lu, Crop Science Division, Taiwan Agricultural Research Institute (Taiwan)Kuo-I Chang, Department of Applied Economics, National Chung Hsing University (Taiwan)Tsai-Ping Chang, Agricultural Economics Division, Taiwan Agricultural Research Institute (Taiwan)Yuan-Jun Chen, Agricultural Economics Division, Taiwan Agricultural Research Institute (Taiwan)

Seminar (8)-04 Information Platform for the International Floriculture Industry

Cheng-Yen Tsai, Technical Service Division and Agricultural Economics Division, Taiwan Agricultural Research Institute (Taiwan)Tsai-Ping Chang, Technical Service Division and Agricultural Economics Division, Taiwan Agricultural Research Institute (Taiwan)Hsiu-E Chiang, Technical Service Division and Agricultural Economics Division, Taiwan Agricultural Research Institute (Taiwan)

Seminar (8)-05 The Establishment and Application of Decision Support System of Selecting Elite Holstein Dairy Bull for Mating to Improve Progeny Performance

Ji-Yi Chen, Department of animal science, Hsinchu Branch, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Kuo-Hua Lee, Department of animal science, Hsinchu Branch, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Chu-Li Chang, Department of animal science, Hsinchu Branch, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan)

Seminar (8)-06 Development of Feature Extraction and Pattern Recognition Programs for Similarity Evaluations of Phalaenopsis Flowers

Shao-Peng Huang, Technical Service Section, Taiwan Seed Improvement and Propagation Station, Council of Agriculture, the Executive Yuan (Taiwan)Ming-Yenn Chou, Technical Service Section, Taiwan Seed Improvement and Propagation Station, Council of Agriculture, the Executive Yuan (Taiwan)Lih-Guong Jang, Information & Communication Technology Department, Industrial Technology Research Institute (Taiwan)





025

15:30-16:50 Seminar (9)- Standardization & Interoperability 5F, Room 502

Chair: Bela Csukas, Kaposvar University (Hungary)Seminar (9)-01 Proposal of Agricultural Data Integration System based on Semantic MediaWiki

Takuji Kiura, Agricultural Research Center, National Agriculture and Food Research Organization (Japan)Tomokazu Yoshida, Agricultural Research Center, National Agriculture and Food Research Organization (Japan)Kei Tanaka, Agricultural Research Center, National Agriculture and Food Research Organization (Japan)Masaaki Omine, Kyusyu Okinawa Agricultural Research Center, National Agriculture and Food Research Organization (Japan)Shigehiro Honda, Mitsubishi Space Software CO.,LTD. (Japan)

Seminar (9)-02 Metadata Providing from Content of Local Archives for Central Agriculture and Aquaculture Repository

Michal Stoces, Department of Information Technology, Faculty of Economics and Management, Czech University of Life Sciences Prague (Czech Republic)Pavel Simek, Department of Information Technology, Faculty of Economics and Management, Czech University of Life Sciences Prague (Czech Republic)Jan Jarolimek, Department of Information Technology, Faculty of Economics and Management, Czech University of Life Sciences Prague (Czech Republic)Jiri Vanek, Department of Information Technology, Faculty of Economics and Management, Czech University of Life Sciences Prague (Czech Republic)

Seminar (9)-03 Monitoring System with Flexibility and Movability Functions for Collecting Target Images in Detail

Tokihiro Fukatsu, Agroinformatics Division, Agricultural Research Center, National Agriculture and Food Research Organization (Japan)Masayuki Hirafuji, Memuro Upland Farming Research Station, Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization (Japan)Takuji Kiura, Agroinformatics Division, Agricultural Research Center, National Agriculture and Food Research Organization (Japan)

Seminar (9)-04 Incremental Dynamic Simulation and Web Based Cooperative Organization for Agrifood Actors and Governmental Authorities

Monika Varga, Department of Information Technology , Kaposvar University (Hungary)Sandor Balogh, Department of Information Technology , Kaposvar University (Hungary)Bela Csukas, Department of Information Technology , Kaposvar University (Hungary)

Seminar (9)-05 Cyberinfrastructure for the Long-Term Ecological Research on the Agricultural Ecosystem

Yueh-Kuei Chan, Agricultural Chemistry Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Chi-Ling Chen, Division of Agricultural Chemistry, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Hong-Shu Wu, Department of Agronomy, Chiayi Agricultural Experiment Branch, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Chin-Ching Lin, Crop Environment Division, Tainan District Agriculture Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan)



026



Win-Chang Sun, Yunlin Branch Farm, Tainan District Agriculture Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan)Ping-Chun Hou, Department of Life Sciences, National Cheng Kung University (Taiwan)Ming-Hwi Yao, Agricultural Engineering Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Jen-Kuan Shii, Technical Service Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Chien-Wen Chen, Botanical Garden Division, Taiwan Forestry Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Chau-Chin Lin, Forest Protection Division, Taiwan Forestry Research Institute (Taiwan)

15:30-16:50 Seminar (10)- Decision Support Systems (2) 5F, Room 503Chair: Naoshi Kondo, Kyoto University (Japan)Seminar (10)-01 A Decision Support System for Palm Oil Based Industrial Planning in Sumatera Economic

Corridor

Hermawan Prasetya, Center for Assessment of Policies for Competitiveness Enhancement, National Agency for Assessment and Application of Technology (Indonesia)Yandra Arkeman, Department of Agroindustrial Technology, Bogor Agricultural University (Indonesia)

Seminar (10)-02 Apollo: Ration Formulation and Analysis Programs for Swine

James W. Oltjen, Department of Animal Science, University of California Davis (United States)Abbas Ahmadi, Department of Animal Science, University of California Davis (United States)

Seminar (10)-03 Grazing Module for Dairy Cows

Abbas Ahmadi, Department of Animal Science, University of California Davis (United States)Pablo Chilibroste, Departamento Producción Animal y Pasturas, Estación experimental Mario A. Cassinoni (EEMAC), Universidad de la República (United States)Peter H. Robinson, Department of Animal Science, University of California Davis (United States)

Seminar (10)-04 Evaluation of Fecal Coliform Samples from Pensacola Bay, Florida (USA) Using Pearl Sanitation Model

Fred S. Conte, University of California Davis (United States)Abbas Ahmadi, Department of Animal Science, University of California Davis (United States)

Seminar (10)-05 Design of Cocoa Beans Transportation Model by Using Fuzzy Integer Transpotation

Iphov Kumala Sriwana, Industrial Engineering Department, Esa Unggul University, Indonesia (Indonesia)Yandra Arkeman, Agro-Industrial Technology, Bogor Agriculture Institute Indonesia (Indonesia)





027

15:30-16:50 Seminar (11)- Applications for Agriculture (1) 5F, Room 504Chair: Atsushi Hashimoto, Mie University (Japan)Seminar (11)-01 A Framework to Develop Content for Improving Agromet Advisories

Mahadevaiah M, Agro Climate Research Centre, Acharya NG Ranga Agricultural University (India)Raji Reddy D., Agro Climate Research Centre, Acharya NG Ranga Agricultural University (India)Sasikala G., Agro Climate Research Centre, Acharya NG Ranga Agricultural University (India)Sreenivas G., Agro Climate Research Centre, Acharya NG Ranga Agricultural University (India)Krishna Reddy P., IT for Agriculture and Rural Development Research Centre (India)Bhaskar Reddy B., IT for Agriculture and Rural Development Research Centre (India)K. Nagarani, IT for Agriculture and Rural Development Research Centre (India)Rathore LS, India Meteorological Department, India (India)Singh KK, India Meteorological Department, India (India)Chattopadhyay N, India Meteorological Department, India (India)

Seminar (11)-02 Application of Laboratory Information Management System in Tea Pesticide Analysis Laboratory

Chia Chang Wu, Wunshan Branch, Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan)Hsiao Ying Yang, Tungting Station of Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan)Ya Hui Chuang, Tungting Station of Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan)Yu Ju Huang, Nantou Pesticides Inspection Station of Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan)Li Chen Lin, Tungting Station of Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan)Ming Lun Xie, Nantou Pesticides Inspection Station of Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan)Iou Zen Chen, Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan)

Seminar (11)-03 Current Status and Outlook of the Taiwan Agricultural Pest and Natural Enemy Database and Query System

Shiuh-Feng Shiao, Department of Entomology, National Taiwan University (Taiwan)Ray, Ruey-Jang Chang, Plant Protection Division, Bureau of Animal and Plant Health Inspection and Quarantine, Council of Agriculture, Executive Yuan (Taiwan)Chi-Yu Chen, Department of Plant Pathology, National Chung-Hsing University (Taiwan)Ling-Ming Hsu, Division of Public Threat Control, Taiwan Agricultural Chemicals and Toxic Substances Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Ting-Chin Deng, Plant Pathology Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Shu-Pei Chen, Applied Zoology Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Shan-Jen Fang, Technical Service Division, Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan (Taiwan)



028



Seminar (11)-04 Application of RFID System in Production Management for Floor-Raised Poultry Breeders

Chu-Yang Chou, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)Yan-Nian Jiang, Department of Animal Science and Technology, National Taiwan University (Taiwan)Jui-Jen Chou, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)Chien-Yu Chen, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)An-Chi Liu, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)Jeng-Fang Huang, Yi-Lan Branch, Livestock Research Institute, Council of Agriculture, the Executive Yuan (Taiwan)Hsiu-Chou Liu, Yi-Lan Branch, Livestock Research Institute, Council of Agriculture, the Executive Yuan (Taiwan)

15:30-16:50 Seminar (12)- Sensor & RFID Applications 5F, Room 505Chair: Joe-Air Jiang, National Taiwan University (Taiwan)Seminar (12)-01 Application of Radio Frequency Identification (RFID) Technology in Dairy Herd Electronic

Management

Chu-li Chang, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan)Ssu-Han Wang, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan)Kuo-Hua Lee, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan)

Seminar (12)-02 Application of RFID in the Production Traceability of Native Chicken

Hsiao-lung Liu, Animal Industry Division, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Ting-li Liu, Animal Information Planning Section, Council of Agriculture, Executive Yuan (Taiwan)Yih-fwu Lin, Animal Industry Division, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Che-ming Hung, Animal Industry Division, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Chao-hsien Hsieh, Animal Industry Division, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Yu-shin Cheng, Deputy Director’s Office, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Liang-yuan Wang, Department of Food Science, Tunghai University Department (Taiwan)





029

Seminar (12)-03 Application of a Wireless Sensor Network (WSN) to Enhance Dairy Farm Management Efficiency

Ssu-Han Wang, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan)Kuo-Hua Lee, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan)Chun-Chieh Chiang, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan)Fang-Chun Hsiao, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan)Jiun-Shiuan Chao, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan)Chu-Li Chang, Taiwan livestock Research Institute Hsinchu Branch, Council of Agriculture, Executive Yuan (Taiwan)

Seminar (12)-04 Application of Solar Wireless Sensor Network to Monitor Water-Quality in Cage Aquaculture Zone in the Inner Sea at Penghu, Taiwan

Yi-Lin Lu, Penghu Marine Biology Research Center, Fisheries Research Institute (Taiwan)Chi-Yuan Lin, Planning and Information Division, Fisheries Research Institute (Taiwan)Wann-Sheng Tsai, Penghu Marine Biology Research Center, Fisheries Research Institute (Taiwan)

Seminar (12)-05 Feasibility Evaluation of Employing Digitized Management on the Distribution Logistics of Fresh Mushroom

Jyh-Rong Tsay, Secretary General Office, Taiwan Agricultural Research Institute (Taiwan)Chih-Kai Yang, Agricultural Engineering Division, Taiwan Agricultural Research Institute (Taiwan)



030



Wednesday, September 5, 201209:00-10:40 Workshop (4)- ICT Training and Education B1, Seminar RoomChair: Fedro Zazueta, University of Florida (USA)Workshop (4)-01 ICT Education and Training in Agriculture

Tran Viet Khanh, Thai Nguyen University (Vietnam)

Workshop (4)-02 Survey of Agricultural Ponds in Taoyuan Plateau by Satellite Imagery and Air Photography

Chih-Hung Tan, Agricultural Engineering Research Center (Taiwan)

Workshop (4)-03 ICT Training and Education for Agricultural Development

Saravanan Raj, Central Agricultural University (India)

Workshop (4)-04 Moving Toward Mobile Delivery of Extension Education and Applications

Jiannong Xin, University of Florida (USA)

11:10-12:10 Seminar (13)- Data Mining 5F, Room 502Chair: Ariangelo Hauer Dias Ariangelo, State University of Ponta Grossa (Brazil)Seminar (13)-01 Impact Assessment of Agricultural Watersheds Using Geospatial Data Mining Techniques: A

Conceptual Framework

Sreedhar Acharya Nallan, School of Computer and Security Science, Edith Cowan University (Australia)Leisa J. Armstrong, School of Computer and Security Science, Edith Cowan University (Australia)

Seminar (13)-02 Data Mining Software Tools to Improve Water Catchment and Agricultural Land Management in Australia

Leisa Armstrong, School of Computer and Security Science, Edith Cowan University (Australia)Aiden Sehovic, School of Computer and Security Science, Edith Cowan University (Australia)Dean Diepeveen, Department of Agriculture and Food, Western Australia (Australia)Neil Dunstan, University of New England (Australia)

Seminar (13)-03 Palm Oil Fruit Classification Using Component Analysis Approach

Lily Amelia, Department of Industrial Engineering, Faculty of Engineering, University of Esa Unggul (Indonesia)Muhammad Ridwan Andi Purnomo, Department of Industrial Engineering, Faculty of Engineering, Indonesia Islamic University (Indonesia)

Seminar (13)-04 Quality Evaluation and Cultivar Identification of Strawberry Using Image Analysis

Kyosuke Yamamoto, Graduate School of Agricultural and Life Sciences, The University of Tokyo (Japan)Seishi Ninomiya, The University of Tokyo (Japan)Yosuke Yoshioka, National Agriculture and Food Research Organization (Japan)Takashi Togami, Graduate School of Bioresources, Mie University (Japan)Atsushi Hashimoto, Graduate School of Bioresources, Mie University (Japan)Takaharu Kameoka, Graduate School of Bioresources, Mie University (Japan)





031

11:10-12:10 Seminar (14)- e-Agricultural Services (2) 5F, Room 503Chair: Ta-Te Lin, National Taiwan University (Taiwan)Seminar (14)-01 Design and Application of Farming Visualization System FVS for Human Resources

Development in Agriculture

Teruaki Nanseki, Faculty of Agriculture, Kyushu University (Japan)Yoshitaka Fujii, Shiga Prefectural Agricultural Technology Promotion Center (Japan)Katsuyoshi Watanabe, FUJITSU KYUSHU SYSTEMS LIMITED (FJQS) (Japan)Shigeyoshi Takeuchi, Faculty of Agriculture, Kyushu University (Japan)

Seminar (14)-02 Print On Demand (POD) System for Customer Service of Agricultural Books

Jeong Hye Park, Agricultural Science Library, Knowledge & Information Officer Division, Rural Development Administration(RDA) (South Korea)Kil Seob Lee, Agricultural Science Library, Knowledge & Information Officer Division, Rural Development Administration(RDA) (South Korea)Jeung Sang Ryu, Agricultural Science Library, Knowledge & Information Officer Division, Rural Development Administration(RDA) (South Korea)Yoo Jeong Lee, Agricultural Science Library, Knowledge & Information Officer Division, Rural Development Administration(RDA) (South Korea)Man Hee Han, Agricultural Science Library, Knowledge & Information Officer Division, Rural Development Administration(RDA) (South Korea)

Seminar (14)-03 Plant Quarantine Pest Query System

Shu-Pei Chen, Division of Applied Zoology, Agricultural Research Institute, COA (Taiwan)Wen-Jen Wu, Research Center for Plant Medicine, National Taiwan University (Taiwan)

Seminar (14)-04 Taiwan Agricultural Research Institute Insect Specimens Digital Archives

Shu-Pei Chen, Division of Applied Zoology, Agricultural Research Institute, COA (Taiwan)

11:10-12:10 Seminar (15)- GIS Applications (2) 5F, Room 504Chair: Bruno Basso, University of Basilicata (Italy)Seminar (15)-01 Applying ArcGIS Online for Establishing Hanoi Agriculture Map

Thanh Xuan Nguyen, Geography Department, Hanoi National University of Education (Vietnam)Tien – Yin Chou, GIS Research Center, Feng Chia University (Taiwan)Thanh Van Hoang, PhD program Civil and Hydraulic Engineering, Feng Chia University, Taiwan (Taiwan)

Seminar (15)-02 Simulation Impact of Climate Change on Agriculture Land-Use Sustainability Using Salus-WebGIS: Case Study in Northern Vietnam

Hoang Thanh Van, Civil and Hydraulic Engineering Program, Feng Chia University (Taiwan)Tien Yin Chou, GIS research Center, Feng Chia University (Taiwan)Chih Yuan Chien, GIS Research Center, Feng Chia University (Taiwan)Viet Khanh Tran, Thai Nguyen University (Vietnam)



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Seminar (15)-03 Geographic Information Data Establishment and Applications for Irrigation Associations in Taiwan

Huang-Hsiang Chan, Information division, Agricultural engineering research center (Taiwan)Yi-Chien Tsai, Information division, Agricultural engineering research center (Taiwan)Chih-Hung Tan, Resources division, Agricultural engineering research center (Taiwan)Yi-Fong Ho, Department of irrigation and engineering, Council of Agricultural, Executive Yuan (Taiwan)

Seminar (15)-04 Land Cover Database of Farmlands of Taiwan

Lun-ping Su, Agricultural Chemistry Division, Taiwan Agricultural Research Institute (Taiwan)Horng-yuh Guo, Agricultural Chemistry Division, Taiwan Agricultural Research Institute (Taiwan)

13:40-15:00 Seminar (16)- Computer Based Data Analysis 5F, Room 502Chair: Leisa Armstrong, Edith Cowan University (Australia)Seminar (16)-01 Application of PCRaster for Spatial Productivity Analysis of Tropical Apple (Malus Sylvestris

Mill) cv. Manalagi in Relation to Temperature

Syukur Makmur Sitompul, Faculty of Agriculture, The University of Brawijaya (Indonesia)Sitawati Widodo, Faculty of Agriculture, The University of Brawijaya (Indonesia)Yogi Sugito, Faculty of Agriculture, The University of Brawijaya (Indonesia)

Seminar (16)-02 The Readout System and Chip Implementation for Chlorophyll Contents Meter

Che-Min Lee, Electronics Department, Chung Yuan Christian University (Taiwan)Wen-Yaw Chung, Electronics Department, Chung Yuan Christian University (Taiwan)

Seminar (16)-03 Developing Marginal Abatement Cost Curve for Greenhouse Gas Emission from Summer Maize in the North China Plain

Nan Ha, Institute for Farm Management, Department of Farm Management, University of Hohenheim (Germany)Enno Bahrs, Institute of Farm Management, University of Hohenheim (Germany)Haifeng Xiao, College of Economics and Management, China Agricultural University (China)

Seminar (16)-04 Change Point Analysis for Environmental Information in Agriculture

Takashi Okayasu, Division of Agro-environmental Sciences, Kyushu University (Japan)Muneshi Mitsuoka, Division of Agro-environmental Sciences, Kyushu University (Japan)Andri P. Nugroho, Graduate School of Bioresource and Bioenvironmental Science, Kyushu University (Japan)Hiromichi Yoshida, Graduate School of Bioresource and Bioenvironmental Science, Kyushu University (Japan)Teruaki Nanseki, Division of Agro-environmental Sciences, Kyushu University (Japan)Eiji Inoue, Division of Agro-environmental Sciences, Kyushu University (Japan)

Seminar (16)-05 The Role of Weather Information on Yield Performance of Carrot Production - Empirical Evidence from Field Data in Yunlin County

Shu-Hua Lin, Department of Science and Technology, APEC Research Center for Typhoon and Society (Taiwan)Ching-Cheng Chang, Department of Socio-Economics, APEC Research Center for Typhoon and Society, Academia Sinica (Taiwan)





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Shih-Hsun Hsu, Department of Agricultural EconomicsNational Taiwan University (Taiwan)Emma Huang, Department of Socio-EconomicsAPEC Research Center for Typhoon and Society (Taiwan)

13:40-15:00 Seminar (17)- ICT Adoption & Education 5F, Room 503Chair: Saravanan Raj, Central Agricultural University (India)Seminar (17)-01 The Challenge of ICT Utilization for Teaching and Learning at Bogor Agricultural University

(BAU), Bogor, Indonesia: Past, Present, and Future

Widharto Widharto, Bogor Agricultural University, Darmaga Campus (Indonesia)

Seminar (17)-02 ICTs for Agricultural Extension in India: Policy Implications for Developing Countries

Saravanan Raj, School of Social Sciences, College of Post Graduate Studies, Central Agricultural University (CAU) (India)

Seminar (17)-03 Questionnaire Analysis to Improve OJT in Agricultural High Schools in Japan

Makoto Okada, Graduate School of Science, Osaka Prefecture University (Japan)Teruo Akai, Tokushima Chamber of Agriculture (Japan)Tomoyoshi Maruyama, Tokushima Chamber of Agriculture (Japan)

Seminar (17)-04 Internet as a Tool for Higher Education and Research in Agricultural Sciences

M. A. Zaman, Department of Farm Power and Machinery, Bangladesh Agricultural University (Bangladesh)S. M. Iqbal Hossain, Faculty of Agriculture, Bangabandhu Sheikh Mujibur Rahman Agricultural University (Bangladesh)

Seminar (17)-05 College Students＇ Agricultural Beliefs and the Comparison between Departments and Grades

Yi-Chen Kao, Graduate Institute of Environmental Education, National Taiwan Normal University (Taiwan)Shun-Mei Wang, Graduate Institute of Environmental Education, National Taiwan Normal Universit (Taiwan)

13:40-15:00 Seminar (18)- Sensor Research (2) 5F, Room 504Chair: Takaharu Kameoka, Mie University (Japan)Seminar (18)-01 Using QR Codes for Context Specific Support around the Farm

Jens Peter Hansen, Business Development, Knowledge Centre for Agriculture (Denmark)

Seminar (18)-02 Development and Application of Mobile Traceability Data Construction for Agriculture

Yu-Chuan Liu, Department of Information Management, Tainan University of Technology (Taiwan)Hongmei Gao, Department of Economic Management, Tianjin Agricultural University (China)Xiaolin Zhang, Department of Economic Management, Tianjin Agricultural University (China)



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Seminar (18)-03 A Remote Monitoring System for Plant Frost Detection in High Altitude Areas

Yu-Sheng Tseng, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)Min-Sheng Liao, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)Yan-Fu Kuo, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)Ming-Tzu Chiou, Wenshan Branch, Taiwan Tea Experiment Station, Council of Agriculture, Executive Yuan (Taiwan)Tzu-Shiang Lin, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)Chung-Wei Yen, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)Joe-Air Jiang, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)

Seminar (18)-04 A Routing Algorithm Designed for Wireless Sensor Networks: Balanced Load-Latency Convergecast Tree with Dynamic Modification

Sheng-Cong Hu, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)Jen-Hou Liu, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)Min-Sheng Liao, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)Cheng-Long Chuang, Intel-NTU Connected Context Computing Center, National Taiwan University (Taiwan)Kun-Yaw Ho, Chia-Yi Agriculture Experiment Station, Council of Agriculture, Executive Yuan, Taiwan (Taiwan)Ju-Min Yang, Chia-Yi Agriculture Experiment Station, Council of Agriculture, Executive Yuan, Taiwan (Taiwan)Joe-Air Jiang, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)

Seminar (18)-05 An Auto-Trapping Device with the Light Luring Mechanism for SPODOPTERA LITURA Monitoring

Wen-Shian Tsai, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)Yu-Sheng Tseng, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)Min-Sheng Liao, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)Jyh-Cherng Shieh, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)





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Chia-Pang Chen, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)Yan-Fu Kuo, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)Joe-Air Jiang, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University (Taiwan)

15:30-16:50 Seminar (19)- Nature Protection 5F, Room 502Chair: Til Feike, Universität Hohenheim (Germany)Seminar (19)-01 Integrated Scenario Development for Sustainable Land and Water Use along the Tarim River,

Xinjiang, China

Til Feike, Institute of Crop Science, Universität Hohenheim (Germany)Michael Kusi Appiah, Institute of Farm Management, Universität Hohenheim (Germany)Yusuyunjiang Mamitimin, Institute of Farm Management, Universität Hohenheim (Germany)Lin Li, College of Water Resources and Architectural Engineering, Tarim University (China)Reiner Doluschitz, Institute of Farm Management, Universität Hohenheim (China)

Seminar (19)-02 Information System for Monitoring Natural Resource Use by Agriculture in a State

Vasant Gandhi, Indian Institute of Management (India)Anita Gandhi, Maitri Designs (India)

Seminar (19)-03 Environmental Monitoring of Village Contaminated by Radionuclides

Masaru Mizoguchi, Graduate School of Agricultural and Life Sciences, The University of Tokyo (Japan)Tetsu Ito, Division of Sensor Networking, X-Ability Co., Ltd. (Japan)Daiki Kobayashi, Graduate School of Agricultural and Life Sciences, The University of Tokyo (Japan)

Seminar (19)-04 An Integrated Automatic Monitoring System to Study Overwintering Purple Crow Butterflies and Their Overwintering Habitats in Southern Taiwan

Jung-Tai Chao, Taiwan Forestry Research Institute (Taiwan)Chau-Chin Lin, Taiwan Forestry Research Institute (Taiwan)Hung-Jen Lin, Taiwan Forestry Research Institute (Taiwan)Chi-Li Chiang, Taiwan Forestry Research Institute (Taiwan)Yun-Shu Yu, Taiwan Forestry Research Institute (Taiwan)Hung-Chang Lu, Taiwan Forestry Research Institute (Taiwan)



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15:30-16:50 Seminar (20)- Applications for Agriculture (2) 5F, Room 503Chair: Jiannong Xin, University of Florida (USA)Seminar (20)-01 Development of a Non-Destructive Detector of Unsuitable Chicken Eggs for Use in Influenza

Vaccine Production

Kohei Kimura, Graduate School of Science and Technology, Niigata University (Japan)Kazuhiro Nakano, Graduate School of Science and Technology, Niigata University (Japan)Ohashi, Graduate School of Science and Technology, Niigata University (Japan)Takizawa, Graduate School of Science and Technology, Niigata University (Japan)Nakano, Kagoshima Immaculate Heart University (Japan)

Seminar (20)-02 Variable Rate Fertilizer Applicator based on AVR Microcontroller

Praeko Agus Setiawan Radite, Department of Mechanical and Biosystem Engi., Fac. of Agric Eng. and Technology, Bogor Agricultural University (Indonesia)M. Tahir Sapsal, Agricultural and Food Machinery Study Program, Graduate School, Bogor Agricultural University (Indonesia)Pandu Gunawan, Agricultural and Food Machinery Study Program, Graduate School, Bogor Agricultural University (Indonesia)Wawan Hermawan, Department of Mechanical and Biosystem Engi., Fac. of Agric Eng. and Technology, Bogor Agricultural University (Indonesia)Bregas Budiyanto, Department of Meteorology and Geophysics, Fac. of Mathematics and Natural Sciences, Bogor Agricultural University (Indonesia)

Seminar (20)-03 Development of Intelligent Control System for Greenhouse

Andri Prima Nugroho, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University (Indonesia)Takashi Okayasu, Division of Agro-environmental Sciences, Kyushu University (Japan)Hajime Fushihara, Naturalstep Inc. (Japan)Osamu Hirano, Intellectual Property Management Center Kyushu University (Japan)Muneshi Mitsuoka, Division of Agro-environmental Sciences, Kyushu University (Japan)Eiji Inoue, Division of Agro-environmental Sciences, Kyushu University (Japan)

Seminar (20)-04 Simple and Rapid Measurement of Nitrate Nitrogen Content in Plant Using Mid-Infrared Spectroscopic Method

Atsushi Hashimoto, Department of Sustainable Resource Sciences, Mie University (Japan)Daisuke Kihara, Department of Sustainable Resource Sciences, Mie University (Japan)Ken-ichiro Suehara, Department of Sustainable Resource Sciences, Mie University (Japan)Takaharu Kameoka, Department of Sustainable Resource Sciences, Mie University (Japan)Takao Kumon, Research Institute, Kagome Co., Ltd. (Japan)

15:30-16:50 Seminar (21)- Modeling & Simulation (2) 5F, Room 504Chair: Kudang Boro Seminar, Bogor Agricultural University (IPB) (Indonesia)Seminar (21)-01 Automated LED Lighting Compensation System for Shortening the Plant Growth Period

Wen-Yaw Chung, Department of Electronics Engineering, Chung Yuan Christian University (Taiwan)Po-Tsun Chen, Department of Electronics Engineering, Chung Yuan Christian University (Taiwan)





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Seminar (21)-02 The Study on the Integration of Crop Model, Spatial Soil Water Balance Model and Hydrological Model

Tien-Yin Chou, Geographic information system research center,Feng Chia University (Taiwan)Chih Yuan Chien, GIS Research Center, Feng Chia University (Taiwan)Bruno Basso, Dept. Crop, Forest and Environ. Sciences, University of Basilicata (Italy)Mei-Ling Yeh, Geographic information system research center, Feng Chia University (Taiwan)

Seminar (21)-03 Statistical Downscaling Model Based-On Support Vector Regression to Predict Monthly Rainfall: A Case Study in Indramayu District

Agus Buono, Department of Computer Science, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University, Center for Climate Risks and Opportunity Management in Southeast Asia and Pacific (Indonesia)Muhammad Asyhar Agmalaro, Department of Computer Science, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University (Indonesia)Mushthofa Mushthofa, Department of Computer Science, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University (Indonesia)Muhammad Faqih, Department of Agro-meteorology, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University (Indonesia)

Seminar (21)-04 Achieving Competitive Advantage for Agribusiness through Supply Chain Management a System Dynamics Simulation and SCOR Model Approach

Hoetomo Lembito, Doctoral Program in Business Management, Graduate School of Management and Business - Bogor Agricultural University (IPB) (Indonesia)Kudang Boro Seminar, Department of Mechanical & Biosystem Engineering, Faculty of Agricultural Technology (Fateta), Bogor Agricultural University (IPB) (Indonesia)Nunung Kusnadi, Department of Mechanical & Biosystem Engineering, Faculty of Agricultural Technology (Fateta), Bogor Agricultural University (IPB) (Indonesia)Yandra Arkeman, Department of Agro Industrial Technology, Faculty of Agricultural Technology (Fateta), Bogor Agricultural University (IPB) (Indonesia)

Seminar (21)-05 Assessment System Model Design for Indonesian Shrimp Export Product based on Quality Assurance and Food Security Regulation

Hartrisari Hardjomidjojo, Department of Agroindustrial Technology, Bogor Agricultural University (Indonesia)Wahyu Fitrianto, Department of Agroindustrial Technology, Bogor Agricultural University (Indonesia)



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Poster Session1F, Room 101

Poster-01 The Application of RFID on the Management of Phalaenopsis Production

Ting-En Dai, Floriculture Research Center, Taiwan Agricultural Research Institute, Council of

Agriculture, Executive Yuan (Taiwan)

Po-Kuang Chang, Identification and Security Technology Center, Industrial Technology Research

Institute (Taiwan)

Wei-Ting Tsai, Floriculture Research Center, Taiwan Agricultural Research Institute, Council of


Ting-Fang Hsieh, Floriculture Research Center, Taiwan Agricultural Research Institute, Council of

Agriculture, Executive Yuan (Taiwan)Poster-02 Crop Genetic Resources Information System

Shu Chen, Division of Plant Germplasm, Taiwan Agricultural Research Institute (Taiwan)

Ien-Chie Wen, Division of Plant Germplasm, Taiwan Agricultural Research Institute (Taiwan)

Shu-Fen Chang, Chiayi Agricultural Experiment Station, Taiwan Agricultural Research Institute

(Taiwan)Poster-03 Building and Implementation Results for the Agricultural Information Mobilization Platform

Hong-zong Wu, Information Management Center, Council of Agriculture, Executive Yua (Taiwan)Poster-04 Establishment of Traceability System and Information Website on Minipigs Supply for

Biomedical Usage by Introducing RFID Technology

Hsien-Pin Chu, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan)

Ling-Wei Yang, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan)

Yong-Yu Lai, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan)

Chun-Ta Chang, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Poster-05 Strengthening the Mobility Aspect of Land Area Survey Systems for Planting Sensitive Crops –

Establishing an Image Database with Photo g-Tagging Capability

Lien-Yi Hsieh, Agriculture and Food Agency, Council of Agriculture, Executive Yuan (Taiwan)Poster-06 Application of Radio Frequency Identificaiton Technology in Deer Farm Management

Hsiao-mei Liang, Kaohsiung Animal Propagation Station, Livestock Research Institute, Council of


Hsin-Hong Lin, Kaohsiung Animal Propagation Station, Livestock Research Institute, Council of


Shann-Ren Kang, Kaohsiung Animal Propagation Station, Livestock Research Institute, Council of


Chih-Hua Wang, Livestock Research Institute, Council of Agriculture, Executive Yuan (Taiwan)Poster-07 Digital Mobile Management in the Tea Industry





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Tien-lin Liu, Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan)

Jia-Ru Dai, Tea Research and Extension Station, Council of Agriculture, Executive Yuan (Taiwan)

Mu-lien Lin, Agricultural Engineering Division, Taiwan Agricultural Research Institute, Council of

Agriculture, Executive Yuan (Taiwan)Poster-08 Application of RFID in Monitoring Egg Production Parameters of Floor-reared Geese

Shen-Chang Chang, Changhua Animal Propagation Station, COA-LRI, Department of Animal

Science, National Chung Hsing University (Taiwan)

Min-Jung Lin, Changhua Animal Propagation Station, COA-LRI, Department of Animal Science,

National Chung Hsing University (Taiwan)

Yu-Shine Jea, Changhua Animal Propagation Station, COA-LRI, Department of Animal Science,

National Chung Hsing University (Taiwan)

Yang-Kwang Fan, Department of Animal Science, National Chung Hsing University (Taiwan)Poster-09 The Information Management System on Production of Domestic Forage Crops by Mobile

Device

Shui-Tsai Chen, Technical Service Division, Livestock Research Institute, Council of Agriculture

Executive Yuan (Taiwan)

Yeong-Chyn Wang, Technical Service Division, Livestock Research Institute, Council of

Agriculture Executive Yuan (Taiwan)

Tying-Siyum Hsiao, Technical Service Division, Livestock Research Institute, Council of

Agriculture Executive Yuan (Taiwan)Poster-10 Leisure Agriculture and In-depth Travel Tourism — Guide and Marketing Integration Platform

Tsang-Sen Liu, Division of Agricultural Chemistry, Taiwan Agricultural Research Institute (Taiwan)

Yu-Wen Lin, Division of Agricultural Chemistry, Taiwan Agricultural Research Institute (Taiwan)

Horng-Yuh Guo, Division of Agricultural Chemistry, Taiwan Agricultural Research Institute

(Taiwan)Poster-11 RFID Usage in Management and Traceability Systems for Egg Containers

Yuan-Chen Ou, Department of Bio-Industrial Mechatronics Engineering, National Chung-Hsing

University (Taiwan)

Kuang-Wen Hsieh, Department of Bio-Industrial Mechatronics Engineering, National Chung-

Hsing University (Taiwan)Poster-12 Using ICT on an Automatic Fertigation System for Growing Lisianthus in a Protected Culture in

Central Taiwan

Ling-His Chen, Taichung District Agriculture Research and Extension Station, Council of

Agriculture (Taiwan)

Chia-Chung Chen, Department of Bio-industrial Mechatronics Engineering, National Chung-

Hsing University (Taiwan)Poster-13 Business Intelligence as Applied to Information Analysis of Agricultural Production and

Marketing



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Chao-Chien Chen, Intelligent Application Department, Agricultural Informations Business

Division, International Integrated Systems, Inc. (Taiwan)Poster-14 Innovative Application of IT Knowledge Management at the Taiwan Public Agriculture Sector

Hong-Zong Wu, Council of Agriculture Executive Yuan (Taiwan)

Gour-Tsair Pan, Council of Agriculture Executive Yuan (Taiwan)

Jane Lin, Affiliation (Taiwan)

Rei-Row Hu, Knowledge Workers’ Productivity International BU, Galaxy Software Services Corp.

(Taiwan)

Jung-Chia Cheng, Knowledge Workers’ Productivity International BU, Galaxy Software Services

Corp. (Taiwan)Poster-15 Establishment of National Pests Management System (NPMS) for the Monitoring, Predicting

and Control Decision Making of Crop Disease and Insect Pest in Republic of Korea

Young-Woong Byeon, Knowledge & Information Officer Division, Rural Development

Administration (South Korea)

Byeong-Yeon Lee, Knowledge & Information Officer Division, Rural Development Administration

(South Korea)

Yong-Hwan Lee, Crop & Animal Division, Rural Development Administration (South Korea)

Keun-Seop Shim, Knowledge & Information Officer Division, Rural Development Administration

(South Korea)

Ui-Jeong Im, Knowledge & Information Officer Division, Rural Development Administration

(South Korea)Poster-16 Environmental and Economic Assessment of Cotton in the North China Plain

Nan Ha, Institute for Farm Management, Department of Farm Management, University of

Hohenheim (Germany)

Huawen Dai, Institute for Farm Management, Department of Farm Management, University of

Hohenheim (Germany)

Haifeng Xiao, College of Economics and Management, China Agricultural University (China)

Enno Bahrs, Institute for Farm Management, Department of Farm Management, University of

Hohenheim (Germany)





041

Instruction for Chairs First of all, we would like to thank you for your effort to serve as a chair at the AFITA/WCCA 2012 Conference.

Followings are for your information on chairing the sessions:

1. Please check speakers’ attendance of your session 15 minutes before it starts.

Inform the conference staff (staffs will assist during the whole session time) immediately if speaker(s) does not show

up. As the session time is extremely limited for all presentations, you are strongly suggested to brief your introduction

of every speaker at your session.

2. In the opening of each session, announce the time for the presentation:

Session Type Total length Presentation Q / A (at the end of each presentation)

Keynote 50 min. 45 min. each -Workshop 100 min. 25 min. each -

Seminar (1)-(4)、(13)-(15) 15 min. 12 min. each 3 min. eachSeminar (5)-(12)、(16)-(21) 16 min. 12 min. each 4 min. each

3. There will be a countdown timer sign shown at the corner of the monitor as well as by the staff 3minutes before

the end of the allocated presenting time, and another sign (time’s up) shown at the end and speaker shall warp up

his/her talk as soon as possible to allow adequate time for Q/A. Microphones will be passed to attendees by staffs

during Q&A

4. Please remind attendees to switch the mobile phone off during the congress.

5. Please strictly control the starting time for each presentation according to the conference program in order to be fair

to all speakers and to ensure the smooth proceeding of each session.

6. In the closing of the session, please announce the starting time for the next session.

Instruction for SpeakersPreparation for Oral Presentation Each meeting room will be equipped with a Notebook installed with Window XP and a LCD projector. It is advised that

all speakers use the notebook provided to prevent the problem of connectivity and save the time for installation.

As all notebooks provided are installed with Microsoft Office, all speakers are required to prepare the slides in

Microsoft PowerPoint format (version 2003 or later version).

Use the horizontal profile to fill the screen and make sure all movies / fonts are supported.

Please prepare your backup copy in a USB or a CD-Rom. Presentation slides and all relevant movies are suggested to be

placed in a folder in your USB or CD-Rom.

All speakers are requested to review the presentation files One Hour prior to the scheduled presentation time. Speaker

Preview Room will be in service during the conference period.

Before the PresentationPlease arrive at your session meeting room 15 minutes before your session starts to meet the Session Chair and to re-

confirm your presentation slides.

Staff will stand by at each meeting to provide any relevant assistance

Preparation for Poster Presentation The Poster Area will be located in the Room 101 at the 1st floor of the Tianmu Convention Center.

Instruction for Chairs and Speakers

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Strategy and Concept of Open Cloud Application Platform in Agriculture

Masayuki Hirafuji Hokkaido Agricultural Research Center

National Agriculture and Food Research Organization & University of Tsukuba Memuro-cho, Hokkaio, 082-0071, Japan

Phone:+81-155-62-4279 Fax:+81-155-61-2127 [email protected]

Yasuyuki Hamada

Hokkaido Agricultural Research Center National Agriculture and Food Research Organization

[email protected]

Tomokazu Yoshida Agricultural Research Center

National Agriculture and Food Research Organization [email protected]

Atsushi Itoh

Hokkaido Agricultural Research Center National Agriculture and Food Research Organization

[email protected]

Takuji Kiura NARO Agricultural Research Center

NARO (National Agriculture and Food Research Organization) [email protected]

ABSTRACT

Agriculture is a kind of complex systems. It consists of various factors such as environmental, biological and financial ones. So its applications are complicated, and concerning data is enormous. Recently such data can be collected by ICT. However the collected data sets have been stored in different places by different forms: it is not easy to integrate the data sets yet. We propose a strategy and concept of CLOP (CLoud Open Platform for applications in agriculture) to encourage data-integration in agriculture. Already there are Open Cloud Platforms (OCPs). Position of CLOP is on higher layer of the OCPs, and CLOP provides standard APIs among agricultural applications to share/exchange the data sets. Agricultural applications can access other agricultural applications and the general public cloud services such as Twitter by using the APIs on CLOP. Applications for PCs and smartphones can be developed easily in short time by using HTML5 with CLOP. One of the most difficult problems in the CLOP project is to share meaning of items in the data sets, that is, meta-data. There are already some data-exchange protocols in agriculture based on XMLs such as BIX-pp, agroXML, iGreen and FIX-pms. We are extending FIX-pms so that meaning of the items can be provided as APIs on CLOP. CLOP and FIX-pms must be extended sustainably for forthcoming applications after the CLOP project is finished. This is another difficult problem. We discussed about this problem from the viewpoint of business model. Keywords: cloud computing, sensor network, agricultural machine, precision farming

Seminar 1- e-Agricultural Services (1) / Semianr (01)-01

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043

ICT Intervened Agri Advisory Services: A Comparative Study of Four

Projects from India

Kasina V. Rao SJM School of Management

Indian Institute of Technology Bombay Powai Mumbai 400076. India.

+91-9951961963 [email protected]

Krithi Ramamritham

Department of Computer Science & Engineering Indian Institute of Technology Bombay

[email protected]

Rajendra M. Sonar SJM School of Management

Indian Institute of Technology Bombay [email protected]

ABSTRACT

Earlier extension system, person-to-person get in touch with was adopted for transfer of technologies, which was subsequently found fruitless, looking at the varied demands of the farming community. In this context, other modes of reaching out to the farmers such as mass media, ICT connectivity were highlighted. The relevant, understandable and need based information available timely in local language and reach in time enhance the farm productivity. Slowly reducing mass media based extension and adoption and usage of mobile phone/Internet based systems provide a chance to disseminate information faster and effective to farmers. A favourable solution through ICT intervened advisory services using innovative business models are incorporated in upcoming projects across India. An explorative case study was adopted to discuss the farmers’ utilisation of services, performance vary mode of delivery and business models of four well-known ICT projects. The projects are quite different in scale and implementation of delivery, but look at the same objective of improving the delivery of information to farmers. One project is an academic research pilot project to study a hybrid technology intervention outcome in agriculture. A second project is administered by a technology incubation enterprise to provide farmer friendly technology based non-profit services for farmer welfare. The third project is managed by a multinational firm to study an innovative concept in action for mutual benefit. The fourth project is an experiment based commercial initiative to provide information to farmers. The comparative study undertaken including technology, communication process, stakeholders, data input, service delivery, consumer benefits, novelty, technical workability, innovation, and project impact. Even ICT adopted differ for the same goal, the adoption of services by farmers in farm management vary. Efforts should be made to integrate projects into a gateway where all services deliver as a single source for farmers at affordable cost. Keywords: Advisory Services, Agriculture Extension, Information and Communication Technology, Mobiles for Development


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eAgromet: A Prototype of an IT-Based Agro-Meteorological

Advisory System

P. Krishna Reddy IT for Agriculture and Rural Development Research Center,

IIIT Hyderabad (IIIT-H)-500032, India [email protected]

B. Bhaskar Reddy

IT for Agriculture and Rural Development Research Center, IIIT Hyderabad (IIIT-H)-500032, India

P. Gowtham Sreenivas


M. Kumaraswamy


D. Raji Reddy

Agro Climate Research Center, Acharya NG Ranga Agricultural University

G. Sreenivas


M. Mahadevaiah


Hyderabad, India Telephone: +91-9700651031

[email protected]

L.S. Rathore India Meteorological Department

K.K. Singh

India Meteorological Department [email protected]

N. Chattopadhyay

India Meteorological Department

eAgromet: A Prototype of an IT-Based Agro-Meteorological

Advisory System

P. Krishna Reddy IT for Agriculture and Rural Development Research Center,

IIIT Hyderabad (IIIT-H)-500032, India [email protected]

B. Bhaskar Reddy


P. Gowtham Sreenivas


M. Kumaraswamy


D. Raji Reddy


G. Sreenivas


M. Mahadevaiah


Hyderabad, India Telephone: +91-9700651031

[email protected]

L.S. Rathore India Meteorological Department

K.K. Singh

India Meteorological Department [email protected]

N. Chattopadhyay

India Meteorological Department


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TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

045

ABSTRACT

India meteorological department (IMD) is disseminating agromet advisory bulletins to farmers and other stakeholders through about 130 Agro Meteorological Field Units (AMFUs). The AMFUs prepare district-level agromet bulletins which are prepared based on weather forecast and existing crop status information. The agromet advisory bulletins contain possible risk mitigation measures. An effort has started to develop an IT-enabled agro-meteorological advisory system called eAgromet, to improve the efficiency of agromet advisory bulletin preparation and dissemination process by exploiting advances in both agriculture and information technologies. The eAgromet prototype has been built for rice and cotton crops of north and south Telangana zones. In this paper, we explain the architecture of eAgromet prototype. Key words: agromet bulletin, risk management, farm management, extension service

ABSTRACT

India meteorological department (IMD) is disseminating agromet advisory bulletins to farmers and other stakeholders through about 130 Agro Meteorological Field Units (AMFUs). The AMFUs prepare district-level agromet bulletins which are prepared based on weather forecast and existing crop status information. The agromet advisory bulletins contain possible risk mitigation measures. An effort has started to develop an IT-enabled agro-meteorological advisory system called eAgromet, to improve the efficiency of agromet advisory bulletin preparation and dissemination process by exploiting advances in both agriculture and information technologies. The eAgromet prototype has been built for rice and cotton crops of north and south Telangana zones. In this paper, we explain the architecture of eAgromet prototype. Key words: agromet bulletin, risk management, farm management, extension service


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

046

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

Constructing an Asian Pacific Plant Seedlings Industrial Information Service Platform

Ming-Shu Yuan Department of Information and Communications

Shih Hsin University +886-2-22368225#3285 [email protected]

Ming-Yenn Chou

Taiwan Seed Improvement and Propagation Station Council of Agriculture, Executive Yuan

[email protected]

Shao-Peng Huang Taiwan Seed Improvement and Propagation Station

Council of Agriculture, Executive Yuan [email protected]

Tso-Chi Yang


[email protected]

Yu-Ching Tsai Taiwan Seed Improvement and Propagation Station


ABSTRACT

The technology of information and communication and seedling industry are developing rapidly, therefore the agricultural public sector must be able to provide further intensiveness and extensiveness of real-time industrial information services for the seedling industry to aim towards a highly refined and international development. However, information is scattered, repetitive, or of uneven quality thus creating problems that will be encountered while the amount of information increases. The planning and constructing of an integrated industrial information service that provides diversified industrial information will satisfy the information needs of the seedling industry users. We used methods such as content analysis, interviews, questionnaires, and expert panels. First, ten database resources and nine related domestic industrial service information platforms were investigated for the current status of industrial information resources and services. Then, a questionnaire survey and interviews were conducted to understand the requirements of information services from users in the seedling industry to plan and construct the industrial information service platform. The general construction of the Asian Pacific Plant Seedlings Industrial Information Service Platform contains its purpose, content, and functions. One of these functions is industrial services, which covers a variety of information, technical services, marketing, seedling community, intellectual property protection, and industry databases. Organized expert panels were held and expert views were collected after the planning as reference to enhance the planning. The platform is expected to be accomplished in 2012, as it will provide a comprehensive, reliable, and real-time competitive intelligence for policy decision makers, researchers, and suppliers. The outcomes of this research are for industrial information service planning for the agricultural public sector. Keywords: plant seedlings, industrial services, industrial information service platform

Constructing an Asian Pacific Plant Seedlings Industrial Information Service Platform

Ming-Shu Yuan Department of Information and Communications

Shih Hsin University +886-2-22368225#3285 [email protected]

Ming-Yenn Chou


[email protected]

Shao-Peng Huang Taiwan Seed Improvement and Propagation Station


Tso-Chi Yang


[email protected]

Yu-Ching Tsai Taiwan Seed Improvement and Propagation Station


ABSTRACT

The technology of information and communication and seedling industry are developing rapidly, therefore the agricultural public sector must be able to provide further intensiveness and extensiveness of real-time industrial information services for the seedling industry to aim towards a highly refined and international development. However, information is scattered, repetitive, or of uneven quality thus creating problems that will be encountered while the amount of information increases. The planning and constructing of an integrated industrial information service that provides diversified industrial information will satisfy the information needs of the seedling industry users. We used methods such as content analysis, interviews, questionnaires, and expert panels. First, ten database resources and nine related domestic industrial service information platforms were investigated for the current status of industrial information resources and services. Then, a questionnaire survey and interviews were conducted to understand the requirements of information services from users in the seedling industry to plan and construct the industrial information service platform. The general construction of the Asian Pacific Plant Seedlings Industrial Information Service Platform contains its purpose, content, and functions. One of these functions is industrial services, which covers a variety of information, technical services, marketing, seedling community, intellectual property protection, and industry databases. Organized expert panels were held and expert views were collected after the planning as reference to enhance the planning. The platform is expected to be accomplished in 2012, as it will provide a comprehensive, reliable, and real-time competitive intelligence for policy decision makers, researchers, and suppliers. The outcomes of this research are for industrial information service planning for the agricultural public sector. Keywords: plant seedlings, industrial services, industrial information service platform


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

047

Application Software Designed to Create Paddy Field Maps

Using “Raster-to-Vector Conversion”

Taimei Okada Agroinformatics Division

NARO Agricultural Research Center Faculty of Environment and Information Sciences

Yokohama National University 3-1-1,Kannondai,Tsukuba,Ibaraki,305-8666,Japan

+81-29-838-7177 [email protected]

Tomokazu Yoshida Agroinformatics Division

NARO Agricultural Research Center [email protected]

Tomoharu Nagao Faculty of Environment and Information Sciences

Yokohama National University [email protected]

ABSTRACT

In today’s regional agriculture of Japan, farmers managing extensive fields are required to perform a large amount of agricultural management tasks. With the aim of improving management work efficiency and reducing their burden, agricultural information processing systems using GIS (geographical information system) -compatible paddy field maps have been proposed. It takes time to produce a paddy field map, which is essential for these systems, as it is drawn manually. For this reason, “raster-to-vector conversion” application software for personal computers (PCs) has been developed to automatically convert a binarized cadastral map in raster format to a paddy field map in vector format. The application program was developed with 9,757*13,084-pixel binarized cadastral map, using the programming language C#. Since we adopted a pixel tracing algorithm, we divide an input image to several partial images for effective processing. Thus, an image was divided into sections and they were processed one at a time to reduce the amount of memory required to store the original image. “raster-to-vector conversion” was performed for each sectional image, and the converted field images were joined to provide the whole image. In addition, “raster-to-vector conversion” was implemented in a multithreaded environment to increase the processing speed. This enabled “raster-to-vector conversion” of an entire binarized cadastral map, and the processing was completed in six minutes, which is 12.3% of the time required to manually create a paddy field map. Keywords: paddy field map, GIS, agricultural information processing system, raster-to-vector conversion

Application Software Designed to Create Paddy Field Maps

Using “Raster-to-Vector Conversion”

Taimei Okada Agroinformatics Division

NARO Agricultural Research Center Faculty of Environment and Information Sciences

Yokohama National University 3-1-1,Kannondai,Tsukuba,Ibaraki,305-8666,Japan


Tomokazu Yoshida Agroinformatics Division

NARO Agricultural Research Center [email protected]

Tomoharu Nagao Faculty of Environment and Information Sciences

Yokohama National University [email protected]

ABSTRACT

In today’s regional agriculture of Japan, farmers managing extensive fields are required to perform a large amount of agricultural management tasks. With the aim of improving management work efficiency and reducing their burden, agricultural information processing systems using GIS (geographical information system) -compatible paddy field maps have been proposed. It takes time to produce a paddy field map, which is essential for these systems, as it is drawn manually. For this reason, “raster-to-vector conversion” application software for personal computers (PCs) has been developed to automatically convert a binarized cadastral map in raster format to a paddy field map in vector format. The application program was developed with 9,757*13,084-pixel binarized cadastral map, using the programming language C#. Since we adopted a pixel tracing algorithm, we divide an input image to several partial images for effective processing. Thus, an image was divided into sections and they were processed one at a time to reduce the amount of memory required to store the original image. “raster-to-vector conversion” was performed for each sectional image, and the converted field images were joined to provide the whole image. In addition, “raster-to-vector conversion” was implemented in a multithreaded environment to increase the processing speed. This enabled “raster-to-vector conversion” of an entire binarized cadastral map, and the processing was completed in six minutes, which is 12.3% of the time required to manually create a paddy field map. Keywords: paddy field map, GIS, agricultural information processing system, raster-to-vector conversion

Seminar 2- GIS Applications (1) / Semianr (02)-01

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

048

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

Agricultural ICT Infrastructure – Prerequisite for Agro-Forest

Management - in Any Country

Walter Mayer PROGIS Software GmbH

Postgasse 6, A-9500 Villach +43 4242 26332

[email protected]

ABSTRACT

High Return On Invest (ROI) for agriculture and forestry comes from integration of newest technologies and cooperation of public and private stakeholders. 30+/-cm ortho-images, GIS, Land Parcel Information System, farm- and/or forest-management systems supporting also advisory services, covering regions or countries for logistics-, precision-, or virtual- farming needs embed farmers support of GAP or more environmental-or risk-management tasks based on new models and precise information. Know-How transfer and setup in a country need 2-3 years, integrates local know-how and costs a neglecting amount on large scale for images, agro-sensor stations and ICT-solutions. Technology-integration and stakeholder-cooperation is a win-win-model for a bright agro-forest future supporting food/feed, biomass for energy and environmental caretaking and risk-management! The technology was developed in cooperation with a consulting office. Technologies, org-solutions and business-models support today thousands of customers worldwide. Keywords: GIS, Maps, AGRO applications, Precision farming


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

049

GIS and Remote Sensing Applications in Natural Resources Management in Bangladesh

M. A. Zaman Department of Farm Power and Machinery

Bangladesh Agricultural University Mymensingh 2202, Bangladesh

+88 01711071190 [email protected]

ABSTRACT

This paper presents an overview of the GIS and remote sensing applications in natural resources management in Bangladesh and the information were taken from secondary sources. The first national Agro-Ecological Zone (AEZ) database was prepared in the period from 1980 to 1987. The database contains information on the country's land resources including physiography, soils, climate, hydrology, cropping systems, and crop suitability. In eighties, natural resources modelling systems were based on static GIS overlays. With the advent of more powerful desktop computer systems and more powerful software tools, it has become possible to develop more flexible and dynamic modelling tools. At the start of the new development efforts in 1997, an overall system design was established to allow for a dynamic analysis and modelling capability. The AEZ database constituted the foundation for a new effort to develop a comprehensive multi-scale GIS-based Land Resources Information System (LRIS) including additional databases and procedures, such as socioeconomic and demographic data influencing agricultural production. The technology used to establish the LRIS includes ArcView GIS; the ArcView Spatial Analyst and Dialog Designer extensions and Avenue; ArcView GIS software's programming language as well as multi-criteria analysis tools. The land resources inventory (LRI) application, for the classification and mapping of soil characteristics from the LRI database, allowed the users to specify the study area, the data to be classified, and the number of classes to create. Bangladesh Space Research and Remote Sensing Organization (SPARRSO) has an Advanced Meteorological Satellite Ground Station (AMSGS) for receiving real time high and low resolution data/imagery from meteorological satellites like NOAA of USA and GMS (Geostationary Meteorological Satellite) of Japan. These data are being used for day to day weather forecasting and agro-climatic environmental monitoring, as well as water resource studies. The SPARRSO uses sophisticated digital image processing systems with ERDAS software for analyzing both meteorological and resource satellite data. GIS facilities include Mainframe ARC/INFO, ERIM GIS (Raster) and IDRISI (Raster). The SPARRSO applies space and remote sensing technology to survey the natural resources and monitor the environment and natural hazards in the country. Centre for Environmental and Geographic Information System (CEGIS) is supporting the management of natural resources for sustainable socio-economic development using integrated environmental analysis, geographic information systems, remote sensing, and information technology. It conducts activities to provide solutions to challenges related to natural resources management in sectors like water, agriculture, fisheries, environment, transportation and engineering. Keywords: GIS, remote sensing, natural resources, management


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

050

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

Soil Survey Database in Taiwan

Chu-Chung Chen Agricultural Chemistry Division, Taiwan Agricultural Research Institute

Council of Agriculture, Executive Yuan +886-4-23317412

[email protected]

Horng-Yuh Guo Agricultural Chemistry Division, Taiwan Agricultural Research Institute


ABSTRACT

Soil survey results are the primary data source for land evaluation, land use planning, agricultural production, environmental quality and sustainability management. There have been several kinds of soil survey in Taiwan since 1911. However it is difficult to correlate different soil information periods with each other due to historic, landscapes and methodologies variation factors. The fourth soil survey project has begun in 2008. This project was intended to conduct country-wide soil surveys during the next 15 years. Geographic Information System, GIS, is an important platform for planning, quality control and application. In 2011, we had finished the soil survey on Yilan County in notheasten Taiwan and established the SOA publishing platform that publishes survey results in WMS format. In addition to soil surveys on other areas, we will keep working on improving the data quantitative, information friendly, and multi-disciplines application of soil survey.


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

051

Navigo - A Field Robot for Small Farms

Ariangelo Hauer Dias Department of Informatics

State University of Ponta Grossa Rua Capitao Goes de Moraes, 222 – Ponta Grossa – PR - Brazil

55 (42) 9935-4700 [email protected]

Anderson Estevam da Rosa

Department of Informatics State University of Ponta Grossa

[email protected]

Daurimar Mendes da Silva Department of Informatics

State University of Ponta Grossa [email protected]

Idomar Augusto Cerutti

Department of Informatics State University of Ponta Grossa

[email protected]

Ivo Mário Mathias Department of Informatics

State University of Ponta Grossa [email protected]

ABSTRACT

Analysing the current development of computer systems, as well as the fact that in Brazil there is not available any small robotic systems to perform agricultural services there arises the idea of developing a prototype for this purpose. In this way was created the AGROBOT project. This project aims at developing an agricultural robot – Field Robot which is intended to explore, in unattended way, open areas on farms in order to collect weather information, samples or data from soil and vegetation. These sample collections will be made in the georeferenced way, in order to obtain the global positioning of the robot at the time of each collection. Considering that georeferenced solutions are being incorporated in the routine in several ways is possible to imagine the possibility of using this technology in agriculture, because the georeferencing with small robots comes as a support tool for the next generation of precision agriculture, with the role of assisting in the monitoring and evaluation of climate, soil or plants. The AGROBOT project, with the creation of the field robot Navigo, is being developed using hardware and software, based on an open source model, in order to permite that the user community can use, copy, contribute, study, modify and redistribute according to specific needs to each application. The explanation about this choice is based on the objective to create a low cost solution that can be used in an efficient way by a greater number of small and medium farmers. To materialize the idea a special hardware is being developed based on ARM and Arduino architecture. The software solution is based on Object-oriented technique in MVC (Model View Control) architecture using the Java programing language with the Android platform. The software developed uses graphical components and Fuzzy logic theory for managing the route and control the electromechanical system for driving the robotic system based on open hardware Arduino. Keywords: Field Robot, Fuzzy logic, Arduino, ARM architecture

Seminar 3- Artificial Intelligence & Robotics / Seminar (03)-01

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

052

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

User Interface Design Principles for Robotics in Agriculture: The Case of Telerobotic Navigation and Target Selection for Spraying

George Adamides Information and Communications Systems

Open University of Cyprus Agricultural Research Institute

P.O. Box 22016, 1516 Nicosia, Cyprus +357-22403133

[email protected]

Ron Berenstein Department of Industrial Engineering and Management

Ben-Gurion University of the Negev [email protected]

Idan Ben-Halevi

Department of Industrial Engineering and Management Ben-Gurion University of the Negev

[email protected]

Thanasis Hadzilacos Information and Communications Systems

Open University of Cyprus [email protected]

Yael Edan

Department of Industrial Engineering and Management Ben-Gurion University of the Negev

[email protected]

ABSTRACT

Introducing semi-automatic teleoperation of an agricultural robotic system can enable improved performance overcoming the complexity that current autonomous robots face due to the dynamic and unstructured agriculture environment. This requires design of a human-robot interface. A user interface for a vineyard robotic sprayer was implemented including functions. The user interface incorporates several functions; robot navigation, target selection and spraying. Following examination of the user interface several usability limitations were identified. Semi-automatic teleoperation implies that the user is not collocated with the robot, and therefore, when designing a user interface several principles must be considered aiming to improve the usability of user interface. In the case of an interface for semi-automatic teleoperation in agricultural robotics, such principles include: visibility, safety, simplicity, feedback, extensibility, and cognitive load reduction. The contribution of this paper is to specify the design guidelines of a user interface for a human-robot cooperative, agricultural robot, in the case of vineyard spraying. Future work will include other interaction styles such as post-WIMP interfaces, within the framework of the AgriRobot project. This research also proposes a methodology to evaluate the usability of the user interface and to examine the human factors (e.g., user awareness, user centered design, interaction styles, learnability) and human-robot interaction parameters (e.g., level of autonomy, interaction roles). Keywords: Agricultural Robotics, Human-Robot Interaction, User interface design principles, Usability


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

053

The Supervised Multi-Agent Systems for a Closed-House Based

Broiler Industry

Kudang Boro Seminar Department of Mechanical & Biosystem Engineering

Bogor Agricultural University (IPB) Darmaga Bogor 16680, Indonesia

+622518623936 [email protected]

Alimuddin

Department Of Electrical Engineering University Of Sultan Ageng Tirtayasa (Untirta)

[email protected]

I Dewa Made Subrata Department of Mechanical & Biosystem Engineering

Bogor Agricultural University (IPB) [email protected]

Sumiati Department of Nutrition & Feed Technology

Bogor Agricultural University (IPB) [email protected]

ABSTRACT

The complexity of a closed-house based broiler industry is characterized by the number and size of broiler houses, the varieties of broilers and the corresponding treatments, the scheduling of broiler production, the distributed locations of broiler houses and the corresponding climate conditions. This must be handled by a control system that employs multi-agent systems to cope with various tasks and objects. The agents are supervised to act collaboratively and concurrently to manage all broiler houses involved especially in a medium or large scale broiler industry. This paper describes the design of the supervised multi-agent systems for closed house-based broiler industry. The simulated prototype is also described to show potential applicabilities of the system proposed. The supervisory controller is the heart of the supervised multi-agent systems since it supervises, coordinates, directs and instructs all the agents to behave and function for collaborative work. The generality and modularity of the system architecture allows its application for various medium or large scale agro-industries that used closed-house systems (e.g. poultry house, greenhouse, duck house, flower house). Keywords: broiler house, supervisory controller, multi-agent systems, agro-industry


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

054

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

Towards Effective Extraction of Green Fractional Vegetative

Cover from Plant Images Taken Under Natural Light

Wei GUO Institute for Sustainable Agro-ecosystem Services, Graduate School of Agricultural and Life Sciences

The University of Tokyo 1-1-1 Midori-cho, Nishi-tokyo, Tokyo, 188-0002


R. Uday Kiran

Institute of Industrial Science The University of Tokyo

[email protected]

Seishi NINOMIYA Institute for Sustainable Agro-ecosystem Services, Graduate School of Agricultural and Life Sciences

The University of Tokyo [email protected]

ABSTRACT

Accurate and automatic extraction of green fractional vegetation cover (FVC) from digital plant images is an important research issue in crop monitoring systems. In the past, extraction of FVC has been studied using images taken either by Near Infra-Red (NIR) camera under natural light or normal camera under specially controlled illumination. The NIR waveband is less human intuitive and luminance controlled environments are costly to construct in real-world applications. To confront these problems, researchers have introduced green color emphasizing formula or the usage of different color spaces with thresholds to extract FVC from plant images. It has been observed that these approaches cannot effectively extract FVC if plant images are taken under natural lighting conditions (or uncontrollable outdoor conditions). It is because the plant images taken under natural light can contain shadowed and lighted parts with strongly mirror reflected parts of a plant. Moreover, the approaches are not scalable as they require the user-defined thresholds for every image. This paper proposes a robust and scalable framework to effectively extract FVC from plant images taken under natural lighting conditions. The framework involves training the tree-based classifier known as CART to effectively identify plant and non-plant regions in an image and use it to accurately extract FVC from other plant images. Experimental results show that the proposed framework is effective. Keywords: vegetation segmentation, natural light condition, machine learning, specular reflection.


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

055

Integrated Information System for High-Quality Crop Production

Chun-Tang Lu Taiwan Agricultural Research Institute (TARI), Council of Agriculture

Crop Science Division 886-4-23317127 [email protected]

Hsiu-Ying Lu

Taiwan Agricultural Research Institute (TARI), Council of Agriculture Deputy Director General

[email protected],tw

Meng-Li Wei Taiwan Agricultural Research Institute (TARI), Council of Agriculture

Crop Science Division [email protected]

ABSTRACT

Crop production must take into account various factors such as variety selection, soil fertility, climate change, and disease and pest control. Through the interaction of the above-mentioned factors, the goal of high-quality production can be fulfilled only when technologies and measures of cultivation management are determined by using dynamic and real-time integrated information. The Taiwan Agricultural Research Institute (TARI) has established and integrated information systems related to rice, agricultural weather, soil, fertilizer, disease, pest, and crop variety to create an Integrated Information System for High-quality Crop Production, for use by crop growers. Digital integration of cultivation knowledge can provide farmers with fast, convenient, and correct access to information on crop production and cultivation. The Integrated Information System for High-quality Crop Production was designed for focus on the personal needs of crop growers, providing a dynamic cultivation management schedule dashboard, prediction of the crop growth period based on weather data, references for farmland management, estimation of the usage and input cost of fertilizers from different brands, and utilization of information and communication technology to track the occurrence times of pest and disease outbreaks. This allows us to take preventive measures beforehand to reduce disaster loss. In the event that the younger generation returns to farming, consequently bolstering the scale of operation, we may promote the Integrated Information System for High-quality Crop Production to satisfy their farming needs, paving the way for conversion from agriculture to agroindustry. Keywords: Digital cultivation management schedule, knowledge database, integrated information system, disease and pest control, reasonable fertilization recommendations

Seminar 4- e-Government / Seminar (04)-01

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

056

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

Establishment of Production Management System for Important

Fruits

Guo-Shiang Hwang Agricultural Engineering Division

Taiwan Agricultural Research Institute +886-4-23317710

[email protected]

Jyh-Rong Tsay Secretary General office

Taiwan Agricultural Research Institute [email protected]

Shou-Hung Chen Department of Geology

Chinese Culture University [email protected]

Yung-Shing Teng

Fengshan Tropical Horticultural Experiment Branch Taiwan Agricultural Research Institute

[email protected]

Chi-Cho Huang Fengshan Tropical Horticultural Experiment Branch


ABSTRACT

After years of efforts, the research team of Taiwan Agricultural Institute (TARI) has developed a sophisticated cultivation pattern that can stabilize the yield and control the production season of lychee (Yu Her Pau). At present, the cultivated area for lychee is 2,500 hectares, with the output value of NT$1.7 billion. However, the differentiation of flower buds is greatly affected by temperature in actual cultivation. To ensure the control of the blossom time, estimation of the yield, and effective management of the cultivation, we built a system that utilizes introduction of the climate data generated by information platform of the production management system into the flower bud differentiation forecast program to control blossom time. Except general cultivation queries, this system provides query service for registered farmers to ask questions regarding the production season adjustment and the cultivation management. We hoped that a quality-oriented crop production system can be established. Furthermore, we selected wax apple, which is also a fruit of the tropical fruit tree, as the subject of the introduction of the production management pattern. In all, this information platform provides relevant cultivating environment, the disaster alert and boosts the benefit of expert guidance. Keywords: Lychee (Litchi chinensis Sonn., Cv. Yu her pau),Wax apple (Syzygium samarangense (Bl.) Merr.et Perry (Eugenia javanica Lam.)),Microprecision production


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

057

Implementation and Application of the Geographic Information

System for the Horticultural Crop Wild Relatives

Shu-Fen Chang Chiayi Agricultural Experiment Station Taiwan Agricultural Research Institute

+886-5-2771341#556 [email protected]

Hui-Lung Chiu

Division of Plant Germplasm Taiwan Agricultural Research Institute

[email protected]

Wen-Liang Chiou Division of Botanical Garden

Taiwan Forestry Research Institute [email protected]

Chien-Wen Chen

Division of Botanical Garden Taiwan Forestry Research Institute

[email protected]

ABSTRACT

Plant genetic resources for food and agriculture (PGRFA) are the driving force for selective breeding and the foundation of sustainable agriculture. Over long-term evolution, the Crop Wild Relatives (CWR), one of the genetic resources of plants, produce numerous genetic variations. Such variation is the source of disease-, pest-, and environment-resistant crops with particular economic traits. It directly contributes to the increase of crop productivity and quality. In light of global climate change and diminishing natural habitats, the amount of PGRFA or the degree of genetic variation shows a steep decline. This is also the case for the horticultural crop wild relatives in Taiwan. To protect and utilize these valuable genetic resources, the Geographic Information System (GIS) for the horticultural crop wild relatives in Taiwan is built. The GIS can provide information about the geographic location and basic characteristics of CWR. Such information can then be used as reference for crop breeding, investigation of geographic information about the species, and estimation of species location, or utilized when searching for important genetic characteristics, such as disease, pest, and environment resistance. Alternatively, this information can be used as an e-learning guide, a booster for the collection and application efficiency of horticultural crop wild relatives, and a facilitator for the ecological adaptation of the horticultural crop genetic resources in Taiwan under climate change. It is also useful for the conservation and sustainable application of crop genetic resources. Keywords: Horticultural crop, wild relative, geographic positioning system, geographic information system, breeding, genetic characteristics


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

058

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

Development of Fisheries Information Systems for the Fisheries Research Institute of Taiwan

Ya-Ke Hsu Planning and Information Division

Fisheries Research Institute +886-2-24622101#2517 [email protected]

Shih-Chin Chen

Planning and Information Division Fisheries Research Institute

[email protected]

Chi-Yuan Lin Planning and Information Division

Fisheries Research Institute [email protected]

Chen-Te Tseng

Planning and Information Division Fisheries Research Institute

[email protected]

Kao-Sung Chen Planning and Information Division


ABSTRACT

The e-government program in Taiwan was initiated in 1998. The program was started mainly to setup the backbone and to improve the infrastructure of the network. Currently, the program is in its phase IV stage (2012-2016). In each phase, the e-government program has improved the efficiency and effectiveness of online access and services for the public. Approximately 78% of survey respondents were aware that the government provided many online services, and more than 50% had downloaded forms or documents from government websites. Public satisfaction with e-government services increased from 39% in 2004 to 67.4% in 2010. In addition, Taiwan was ranked fourth in the World Bank’s Knowledge Index for 2012. The Fisheries Research Institute (FRI) of Taiwan was established in 1929. The Institute focuses on the development and application of technology of capture fisheries, aquaculture, and seafood processing. For years, FRI has accumulated substantial data and information related to the knowledge of fisheries technology. This knowledge can be widely disseminated only through digitization and placement on the internet. This was the purpose of building fisheries information systems for FRI. This study presents an overview of the fisheries information systems of FRI. In the study, the systems were divided into the following categories: digital archives, digital exhibition, aquatic theme website, technical extension service, and information sharing. Currently, all these systems have been integrated and can be accessed through the official portal of FRI (http://www.tfrin.gov.tw).

Keywords: e-government, fisheries information systems, digital archives


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059

Computer Simulation of the Control Timing Against Spodoptera

litura (Fabricus) in Groundnut Field During Different Seasons

Shu-Jen Tuan Department of Entomology

National Chung Hsing University +886-4-22840779#531

[email protected]

Chung-Chieh Lee Department of Entomology

National Chung Hsing University

ABSTRACT

Spodoptera litura (Fabricus) is the most serious groundnut (Arachis hypogaea) leaf-defoliating pest in Taiwan. To simulate S. litura population dynamics, we collected life table data from the laboratory at constant temperature (25ºC), and from the field in the spring and fall of 2010. The shortest immature stage occurred during fall (19.2 d), and the longest was in spring (28.4 d). Adults of the 25°C laboratory group lived longer than adults living under field conditions did. The mean generation time was shortest in fall (34.5 d). Pre-adult survival rates were lower in spring (39.9%) and fall (53.3%) than for those kept at constant temperature (84.6%). Mean S. litura fecundities were 3548, 3452, and 3072 for moths raised indoors and in the field during spring, and fall, respectively. Hatch rates for these conditions were 64.2%, 72.2, and 26.0% respectively. The intrinsic rate of increase (0.1838 d-1), finite rate of increase (1.2017 d-1), and net reproductive rate (963.2 offspring) were greatest under constant 25°C conditions. These parameters showed high variability during spring and fall; various unregulated environmental factors affected hatching and survival rates in the field, and so population growth rates were lower than for the controlled conditions. We compared the population dynamics of both cropping seasons with and without controls based on economic threshold (ET). Keywords: Spodoptera litura, Arachis hypogaea, age-stage two-sex life table, computer simulation, economic threshold


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060

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Agroforestry – Exploring a Mitigation Option for Nitrogen Pollution in Cropping Systems of the North China Plain

Jirko Holst Computer Applications and Business Management in Agriculture (410C)

Faculty of Agricultural Sciences University of Hohenheim

Schloß, Osthof-Süd, 70593 Stuttgart, Germany Tel.: +49 711 459-23884

[email protected]

Wenping Liu College of Resources and Environmental Sciences

China Agriculture University [email protected]

He Xiao

College of Resources and Environmental Sciences China Agriculture University

[email protected]

Zhenrong Yu College of Resources and Environmental Sciences


Reiner Doluschitz

Computer Applications and Business Management in Agriculture (410C) Faculty of Agricultural Sciences

University of Hohenheim [email protected]

ABSTRACT

Maize belongs to the dominant food and feed crops in the North China Plain and contributes significantly to Chinese food security. It is typically grown as summer maize in rotation with winter wheat (two harvests per year), but also cultivated as single crop (spring maize) in case of water shortage. High inputs of nitrogen fertiliser and sometimes additional irrigation are required for maize production and actual application rates of N fertiliser often grossly exceed crop nitrogen demand. The excessive use of fertiliser leads to significant loss and re-distribution of nitrogen through volatilisation, leaching and other processes, and as a result, these agricultural systems contribute to environmental pollution and lower profitability. In light of these issues, great efforts are made to improve the nitrogen use efficiency and to alleviate environmental problems in Chinese agriculture. Loss and re-distribution of nitrogen in agricultural systems are, unfortunately, to some extent unavoidable. However, it may be feasible to re-capture some of the lost nitrogen to mitigate negative environmental impacts. One possibility could be the conversion of arable fields into

Seminar 5- Modeling & Simulation (1) / Seminar (05)-01

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061

agroforestry systems, because the added trees expand the zone of interception for leaching and volatilised nitrogen. Trees also promise additional income provided that the yield penalties of the main crops remain limited. Here, we explore the agroforestry model Hi-sAFe and apply it for a site near Quzhou, Hebei, China. Hi-sAFe was specifically designed to simulate competition between crops and trees for light, water and nitrogen in temperate agroforestry systems and allows for the incorporation of important management options. We discuss the opportunities and limitations of Hi-sAFe to address our research hypothesis and simulate a walnut – spring maize agroforestry system over a time period of 40 years. We show that only agroforestry systems with low tree densities are feasible options for agricultural production, as annual yield penalties otherwise exceed 10% of monoculture yields. We promote further model development and research efforts. Keywords: Nitrogen volatilisation, Nitrogen leaching, Walnut, Spring maize, Hi-sAFe model, STICS model, Quzhou


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062

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Toward the Construction of an Evaluation System for the Effects of Climate Change on Agriculture in the Asian Monsoon Region

Kei Tanaka Agroinformatics Division

NARO Agricultural Research Center (NARO/ARC) Japan 3-1-1 Kannondai Tsukuba Ibaraki 305-8666 Japan


Takuji Kiura

Agroinformatics Division NARO Agricultural Research Center (NARO/ARC) Japan

[email protected]

Hiroe Yoshida Agroinformatics Division

NARO Agricultural Research Center (NARO/ARC) Japan [email protected]

ABSTRACT

A Japanese research project, “Climatic changes and the evaluation of their effects on agriculture in the Asian monsoon region (CAAM)” under the “Green Network of Excellence (GRENE)” program supported by the Ministry of Education, Culture, Sports, Science and Technology Japan (MEXT) began in 2011 and will run until 2015. The purposes of the CAAM project are to improve the reliability of the climatic prediction in the Asian monsoon region, and to develop the necessary information platform to design adaptation and mitigation strategies in agriculture against the predicted climate changes. Our research objective is the elucidation of the effects of the climate change on major crops in the Asian monsoon region by using the meteorological data and the cultivation data provided by another team. During this project, a system that can simulate the cultivation under various conditions (e.g., cultivar, weather, and management) will be developed. The system will be able to be developed efficiently by using previous findings such as those obtained by the Java Agricultural Model Framework (JAMF), MetBroker, and a predicting system for rice cultivation. The most compelling feature of this system is its flexibility, with which a user can change crop models based on a targeted crop, available meteorological data, and data resolution. The effects of climate changes on crop cultivation can be elucidated by inputting the same effects to the system as parameter values. The results of the system will be outputted in XML format and displayed by several types of data viewer applications with good operability and visibility so that not only researchers but also administrative officers and farmers can use them, and the results will also be used to design adaptation and mitigation strategies in agriculture to counteract climate changes to be used by both policy makers and farmers. Keywords: GRENE-ei CAAM, crop model, climate change, Asian monsoon region


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063

Modelling the Production Potential of Chinese Cabbage in the

North China Plain

Til Feike Institute of Farm Management (410c)

Universität Hohenheim 70593 Stuttgart, Germany


Sebastian Munz

Institute of Crop Science (340a) Universität Hohenheim

[email protected]

Qing Chen College of Natural Resources and Environmental Sciences

China Agricultural University [email protected]

Simone Graeff-Hönninger Institute of Crop Science (340a)

Universität Hohenheim [email protected]

Wilhelm Claupein

Institute of Crop Science (340a) Universität Hohenheim

[email protected]

Reiner Doluschitz Institute of Farm Management (410c)


ABSTRACT

Chinese cabbage (Brassica rapa ssp. pekinensis) is the major vegetable of the North China Plain (NCP), an important agricultural region of China. The steadily increasing production of vegetables is putting more and more pressure on the already overexploited natural resources in the region. Improving the production of Chinese cabbage with respect to a more efficient use of inputs can give a significant contribution to the development of sustainable agricultural systems. In that context crop simulation models (CSM) constitute a powerful and inexpensive tool to describe plant growth processes, and the interactions with the environment. Especially the possibility to test a wide range of management options is a valuable feature. To enable the simulation of Chinese cabbage production, we adjusted the process-oriented CSM CROPGRO to simulate Chinese cabbage. Model development and


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testing were based on green-house and field experiment data from Germany and China from 2007 to 2009. The validated model was then used to simulate Chinese cabbage production in the NCP. Simulations were conducted over up to 30 years of weather data of 12 locations throughout the NCP, and were additionally tested on five prevailing soil texture types. The results were extended over the whole region by linking them to a GIS-system. The simulation analysis showed that soil texture has a stronger effect on yields compared to the climatic variation in the NCP. The lowest yields were observed on sandy soils in the central part of the NCP, while the highest yields were obtained on silty soils in the Northern part. The developed tool proved to be a reliable Decision Support System to improve Chinese cabbage production in China and other parts of the world. Keywords: DSS, CROPGRO, Chinese cabbage, North China Plain


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065

Validation and Perfecting of Rapeseed Growth Models in Nanjing

Hongxin Cao Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agriculture

Jiangsu Academy of Agricultural Sciences Nanjing 210014, Jiangsu Province, P.R. China

+86-25-84391210 [email protected]

Yan Liu

Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agriculture Jiangsu Academy of Agricultural Sciences

[email protected]

Wenyu Zhang Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agriculture

Jiangsu Academy of Agricultural Sciences

Daokuo Ge Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agriculture

Jiangsu Academy of Agricultural Sciences [email protected]

Yanbin Yue

Institute of Agricultural Sci-tech Information Guizhou Academy of Agricultural Sciences

[email protected]

Yongxia Liu Institute of Banana and Plantain/Haikou Experimental Station

Chinese Academy of Tropical Agricultural Sciences [email protected]

Jinying Sun

Agricultural Technological Extensive Station of Luntai County in Xinjiang [email protected]

Zhiyou Zhang

Institute of Agricultural Sci-tech Information Hunan Academy of Agricultural Sciences

[email protected]

Yuli Chen Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agriculture

Jiangsu Academy of Agricultural Sciences 2009101038@njau. edu.cn

Weixin Zhang

Institute of Agricultural Economics and Information; Engineering Research Center for Digital Agriculture Jiangsu Academy of Agricultural Sciences

[email protected]

Na Liu Center for China Meteorological Information

China Meteorological Bureau [email protected]


SEP. 04

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066

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ABSTRACT

Crop models are a core and basis of digital planting industry. In order to deepening studies for rapeseed growth models, Ningyou16 (NY16), Ningyou 18 (NY18), and Ningza 19 (NZ19) were adopted as materials, and the field experiment with 2 cultivars and 2 nitrogen levels and pot experiment with 3 cultivars and 2 nitrogen levels during were conducted during 2007-2008, 2008-2009, and 2011-2012 in Nanjing. The experimental results showed that the phenology and leaf number in rapeseed models had obvious difference for the same cultivar under different nitrogen levels. Thus, the nitrogen effect factors, F (N), were put forward and used in the phenology sub-model in rapeseed growth models, and the verification of the leaf number sub-model can be done through cultivar parameter adjusting. The simulated values before and after using F (N) and the observed values were compared, and the precision for the phenology, and leaf number sub-models in rapeseed growth models were raised further. Keywords: Validation, perfecting, and rapeseed growth models


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067

A Study on the Relationship Between the Number of Oriental Fruit Fly (Bactrocera dorsalis (Hendel)) Trap Catches and the Rate of Fruit

Damage

Li-Hsin Huang Pesticide Application Division

Taiwan Agricultural Chemicals and Toxic Substances Research Institute +886-4-23302101#309 [email protected]

Wen-Hua Chen Department of Plant Medicine

National Pingtung University of Science and Technology [email protected]

Mei-Chueh Lin Pesticide Application Division

Taiwan Agricultural Chemicals and Toxic Substances Research Institute [email protected]

Wen-Ying Su Pesticide Application Division

Taiwan Agricultural Chemicals and Toxic Substances Research Institute [email protected]

ABSTRACT

Methyl eugenol with toxicant is being used to manage the oriental fruit fly, Bactrocera dorsalis (Hendel), in Taiwan, including in efforts aimed at the control, monitoring, and evaluation of control efficacy. In the present study, the efficacy of oriental fruit fly control was evaluated based on the number of male adults captured and on fruit losses. Theoretically, a simple positive correlation between the fruit losses (or the rate of fruit damage) and the density monitoring data (trap catch data) should exist, but studies have shown that the relationship is complex and nonlinear. There are many possible reasons for this complexity. For example, it could be that while methyl eugenol captures male adults, the fruit damage is primarily caused by female oviposition, and there are no good methods for catching female adults. Nonetheless, this study uses a protein bait to obtain female catch data. We discuss the relationships between male catch data with methyl eugenol and female catch data and the rate of guava fruit damage. The results from simple regression analysis revealed that the relationship of female and male catch data transformed by natural logarithms has a positive correlation. The male catch data explained 41.9% of the variation from the female catch data. The number of female catches was grouped in two, and then logistic regression was used to analyze the correlation of the female class and the rate of fruit damage. The results showed that the female class explained 84.6% of the variation in the rate of fruit damage. This study also assessed the feasibility of both models as applied to guava and wax apple orchards in Pingtung. Keywords: Bactrocera dorsalis, methyl eugenol, protein bait, trap catch, rate of fruit damage


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068

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Rice Growth Monitoring and Yield Forecasting by Disaggregating Moderate Resolution Imaging Spectroradiometer (MODIS) Data

Yi-Ping Wang Department of Soil and Environmental Sciences

National Chung-Hsing University [email protected]

Chun-Shien Wu

Department of Soil and Environmental Sciences National Chung-Hsing University

[email protected]

Pei-Lin Lee Department of Soil and Environmental Sciences


Yuan Shen

Department of Soil and Environmental Sciences National Chung-Hsing University

250 Kuokuang Road, Taichung, 402, Taiwan, ROC. 886-4-22872619

[email protected]

ABSTRACT

Timely and accurate crop growth and yield assessments are essential to minimize the uncertainties and risks associated with various decision makings. Traditionally, field survey must be conducted to provide the required intelligence. However, it is not only very time and cost consuming, the statistics are usually not immediately available and not precise enough when considering the spatial heterogeneity involved. The high temporal resolution and rapid availability of moderate resolution imaging spectroradiometer (MODIS) data provides opportunity for operational crop growth monitoring and yield estimation via remote sensing. However, the coarse spatial resolution of MODIS data results in pixels containing mixtures of different land-cover classes. A linear disaggregating algorithm was developed to retrieve the reflectance characteristics for paddy rice class on per pixel basis with fractional information of various sub-pixel land covers, and evaluated in a major agricultural production area located in southwestern Taiwan. Through disaggregating a consecutive series of MODIS imageries, the growth conditions of paddy rice within the study area could be monitored via observing the time course of normalized difference vegetation index (NDVI) and by comparing with corresponding averaged NDVIs of previous years as references. Multiple regression yield forecasting models were also developed based on the disaggregated band reflectance and historical yield statistics. Validation testes indicated that the root mean square errors at village and county levels were about 1.0 ton ha-1 and 0.6 ton ha-1, respectively Keywords: paddy rice, yield estimation, remote sensing, MODIS

Seminar 6- Sensor Research (1) / Seminar (06)-01

SEP. 04

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069

Survey of Agricultural Ponds in Taoyuan Plateau by Satellite

Imagery and Air Photography

Chih-Hung Tan Resources Division

Agricultural Engineering Research Center 196-1, ChungYuan Rd., Taoyuan

+886 3 4521314 [email protected]

Chia-Sheng Hsu Engineering Division

Hsin-Chu Irrigation Association [email protected]

Li Chen

Civil Engineering Dept. Chung Hua University

[email protected]

ABSTRACT

The thousands of agricultural ponds in the Taoyuan plateau were developed for farmland irrigation adjustment by early inhabitants. Due to the large number, area and density of the water bodies, the ponds created a characteristic landscape on the Taoyuan county, and earned a name of “county of thousands ponds”. However, the ponds disappeared rapidly during the last 30 years because many of the land use change to non-agriculture, and so dramatically change the landscape and the eco-environment. The government and NGOs recognized the historic, social, and ecologic values of the ponds, announcing the ponds “national wetlands” and implemented a comprehensive survey for the ponds. This paper documented the results of survey which utilized remote sensing (RS) and geographic information system (GIS) technologies to analyze high resolution Formosat II satellite imagery and air photography to identify the water bodies, and to compare the growth and decline during 2004 to 2011. The Taoyuan county pond database was created for the government to manage and utilize the ponds and to create new life to the ponds in the Taoyuan area. Keywords: Agricultural Pond, Satellite Imagery, Air Photography, Formosat II


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070

SEP. 04

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Design of Wireless Monitoring and Image Capturing System

Based on ZigBee for Agricultural Greenhouse

Wen-Yaw Chung Department of Electronics Engineering

Chung Yuan Christian University 200,ChungPei Rd., Chung Li , Taiwan 32023 , R.O.C


Chien-Lin Chen

Department of Electronics Engineering Chung Yuan Christian University

[email protected]

ABSTRACT

Greenhouse agriculture is a modification of the natural environment to achieve optimum plant growth that improves the quality and increase crop production under controlled environment. Agricultural activities are affected by environmental factors such as ambient temperature, relative humidity and light intensity; in turn, these factors have significant impact in the production and quality of agricultural crops. In this study, a wireless sensor network based monitoring system with image capture was developed to monitor and assessed the condition of crops in a greenhouse environment. The system is composed of a wireless sensor node that have a ZigBee module for wireless communication, environmental sensors for temperature, relative humidity, and ambient light sensing and a camera module that takes snapshot images inside the greenhouse. The wireless sensor node was installed in a greenhouse, to monitor and collect environmental information and captured images that are then transmitted to a remote computer server. Windows application software was developed for the collection and storage of information received from the wireless sensor nodes. The wireless sensor node installed in the greenhouse can measure temperature that ranges from minus 55 to plus 125 Celsius degrees; the range of relative humidity from 0 to 100 percent; the range of light intensity from 1 to 64000 lux, and the camera resolution of captured image is 320x240 pixels. In idle mode, the wireless sensor node consumes 34 milliamperes. After the field test results, the proposed system shows a potential market and value for precision agriculture applications. Keywords: wireless sensor network, cc2530 8-bit microcontroller, image capture, precision agriculture


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071

Geo-Locational Sensor Based Services in Agriculture

Adinarayana Jagarlapudi Centre of Studies in Resource Engineering

Indian Institute of Technology Bombay [email protected]

S.A. Sawant

Centre of Studies in Resource Engineering Indian Institute of Technology Bombay

Powai, MUMBAI 400 076, Indiapostal address +91-22-25767689

[email protected]

S.S. Durbha Centre of Studies in Resource Engineering

Indian Institute of Technology Bombay sdurbha @iitb.ac.in

A.K. Tripathy

Centre of Studies in Resource Engineering Indian Institute of Technology Bombay

[email protected]

ABSTRACT

Advances in Wireless Sensor (WSN) and Communication Networks has achieved the capability to seamlessly gather real-time agro-meteorology data. In India, over different agro-climatic conditions (semi arid region of Andhra Pradesh and coastal region of Kerala), WSN based field level experiments were conducted to monitor cultivation practices. The study explains about Open Geospatial Consortium (OGC) compliant Sensor Web Enablement architecture, which provides syntactic standardization for ubiquitous access and ease in geo-locational sensor data discovery. It is possible to model and quantify variations in crop-soil-water resources utilization and effect of environmental factors on crop grown under different agro-climatic conditions. The web-based service oriented applications have capabilities to provide information on crop water requirement, vulnerability of crop towards pest/disease, etc. for better decision making. Keywords: Wireless Sensor Network, Sensor Web Enablement, Precision Agriculture


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072

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A Decision Making Framework

for Developing Agricultural Wireless Sensor Network Systems

Mohammad Fajar Department of Advanced Information Technology, Graduate School of Information Science and Electrical

Engineering, Kyushu University

744 Motooka, Nishi-Ku, Fukuoka, 819-0395 092-802-3644

[email protected]

Tsuneo Nakanishi Department of Advanced Information Technology, Faculty of Information Science and Electrical Engineering,

Kyushu University [email protected]

Kenji Hisazumi

System LSI Research Center, Kyushu University

[email protected]

Akira Fukuda Department of Advanced Information Technology, Faculty of Information Science and Electrical Engineering,


ABSTRACT

Software product line (SPL) is a promising paradigm to develop efficiently various agricultural wireless sensor network systems to be deployed in different fields with different crops, technologies, economics, and communities. In the SPL paradigm, development of each variant system, i.e. a member of the system family, is performed by configuration of core assets, which are artifacts shared and managed among all the members of the system family. Although this configuration must be done to satisfy requirements by the farmer and constraints by the system, it can be time consuming and expensive for the large scale system family. This paper proposes a decision making framework with integer linear programming (ILP). Inclusion or exclusion of each function in each variant system is represented by the binary variable. Farmer’s requirements and system’s constraints are reflected by assignment of 0-1 to the variables. Constraints on selecting functions in each variant system as well as quality attributes of the system are represented by linear functions of the variables, which finally become the objective function and constraints of ILP. The ILP gives the best configuration for the system to be derived from the core assets with satisfying the constraints. The proposed framework was applied to the case study of the WSN system family for field monitoring. Keywords: Software Product Line, Application Engineering, Configuration, Feature Modeling, Wireless Sensor Network, Field Monitoring, Decision Making, Integer Linear Programming


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073

e-Initiative for Agricultural Extension: Browsing for Logout?

R. Saravanan School of Social Sciences

College of Post Graduate Studies Central Agricultural University (CAU)

Umiam (Barapani) – 793 103, Meghalaya, India Phone: +919436054939; Fax: +913682570030

[email protected], [email protected]

ABSTRACT

This case study deals about an e-extension initiative for the poor tribal farmers of the most backward north-east region of India, piloted jointly by the renowned public Information Technology (IT) research organisation and agricultural university in India. Project was initiated with the expectation of “compatible and complementing partners” will create synergy to move forward, but experiences showed that it was “marrying for divorce”. Both institutes were loaded with different institutional, cultural and environmental settings. For three years, project team successfully integrated modern ICTs with traditional extension to disseminate the farm information. Project demonstrated potential of ICTs in facilitating adoption of new farm innovations for the livelihood improvement of small and marginal farmers along with positive impact on time and cost to avail and deliver the services. However, lack of need based content, less infrastructure, limited supporting services-forward and backward linkages hindered to realise full potential of the e-Initiative. There are number of institutional barriers like; lack of flexibility and limited innovation facilitation skills and also other few institutional stakeholders intermittently halted the progress in the name of rules, especially in financial matters than actual research. Pre-digital era born Administrative leaders, those who are all along worked with “type-writing machines” are “sceptical” to use new ICT tools for farm advisory services and they regularly discouraged the project team. Project heavily suffered with the “project tourism” attitude, because this project was implemented in the one of the remotest corner of the country and dubbed as “hidden paradise” and collaborators had a reason and logistics to visit the project area. Above factors enormously hindered the ICT pilot’s scaling-up and sustainability. This case study intent to discuss the project stakeholders experience in an undefensive way- what went wrong and why? what lessons it gives for the ICT practitioners in developing countries? and how to fix it.

Keywords: Extension, Farmers, India, e-Agriculture, Barriers

Seminar 7- ICT Adoption / Seminar (07)-01

SEP. 04

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074

SEP. 04

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An Assessment of Farmer’s Information Networks in India- Role

of Modern ICT

Surabhi Mittal International Maize and Wheat Improvement Center (CIMMYT) India

CG Block, NASC Complex, Todapur Road, Pusa, New Delhi-110012, INDIA Tel: +91 9711154443; Fax: +91.11.2584 2938

[email protected]

Mamta Mehar International Maize and Wheat Improvement Center (CIMMYT) India

[email protected]

ABSTRACT

In this dynamic world and changing scenario, the provision of agricultural information plays a decisive role for the overall development of agriculture as well improving the livelihoods of farmers. Agriculture information requirement is changing constantly primarily due to changing climatic conditions and diversification. Farmers need a wide variety of information such as availability of new inputs or technologies or seed variety; information about disease outbreaks or weather forecast, market information for selling of output; and price information of both inputs and crop production etc. Farmer has various information sources and is linked to various information networks, but usually the flow of information is not accurate, timely and localized or as per the need of the farmer. This paper documents the role of different information sources in delivering information to the farmers. The paper uses data from primary survey conducted by CIMMYT in 2011 for 1200 farmers across five states of India- Punjab, Haryana, Uttar Pradesh, Bihar and West Bengal. The objectives of the paper is to evaluate the nature, adequacy and usage of information receive via different sources of information for farmers with different income and socio-economic backgrounds and to understand the relationship between farmer’s socio-economic characteristics and use of modern information and communication technology like as mobile phones and internet based model in accessing information. Since the farmers use multiple sources for information and the decisions to select these sources are not likely to be mutually exclusive thus a multivariate probit regression is used to examine the factors that affect farmer’s preferences between different information sources. Factors influencing these decisions are age, education level, farm size, access to radio or TV and access to mobile phone. The finding of the empirical model suggests that farm size and education level plays crucial role in farmer’s decision to use different sources of information. Keywords: Access to agriculture Information, Agriculture Information Networks, multivariate probit model, India


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

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2

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075

A Centralized Subscription and Clientele Management System

for Agricultural Extension Programs

Jiannong Xin Office of Information Technology

University of Florida/IFAS PO Box 110350, Gainesville, FL 32611

(352)846-3217 [email protected]

Huafeng Jin

Department of Computer Science University of Florida [email protected]

Pete Vergot III

University of Florida/IFAS Extension

[email protected]

Theresa Friday Santa Rosa County

University of Florida/IFAS [email protected]

ABSTRACT

Extension in the U.S. through the land-grant universities is a partnership between federal, state, and county governments to provide scientific knowledge and expertise to the public. Today’s Extension publications are delivered to the public through various channels and customers demand personalized relevant information. Advances in information technologies enable Extension faculty to communicate with clientele and find new channels to deliver Extension programs by improving the ability to push relevant contents to targeted audiences. This paper describes a centralized system named Subscription Management System (SMS), which allows extension clientele to receive information relevant to them. SMS allows Extension clients to select and receive newsletters, articles, publications, announcements and notifications of upcoming events. SMS is customized so that users may select interested topics as a subset of entire topic groups from various county websites through an Application Programming Interface (API). Authorized county extension faculty and staff reach extension clientele and deliver up-to-date tailored knowledge to each targeted clientele via the SMS. SMS provides a means to facilitate communication between extension faculty and their clientele to further strengthen client relationships and assist in marketing institution efforts. SMS provides extension faculty with reports on clientele activities, client profiles and distributions to understand clientele needs and to improve the delivery of future extension programs. Keywords: Subscription, clientele relationship management, information delivery, agricultural Extension


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

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01

2

076

SEP. 04

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01

2

SEP. 04

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AY, 2

01

2

Information Technology Adoption in Indonesian Agriculture and

Agribusiness

Setyo Pertiwi Department of Mechanical and Biosystem Engineering

Bogor Agricultural University IPB Darmaga Kampus, Bogor - Indonesia


ABSTRACT

To date, agriculture is remaining to be a strategic sector in Indonesia. However, besides its growth, there are also several issues and problems being challenged, which, among others, is inadequate access to information. A survey has been carried out to study about the information required by small scale agriculture and agribusiness practitioners in Indonesia, adoption level of information and communication technology (ICT) for accessing the required information, as well as adoption level of ICT for supporting their operations. The survey was conducted by using questionnaires in West Java province. This paper discusses the survey results. Supply side, including the information sources and the availability of ICT infrastructure in rural areas, will be taken in to account in analysing the survey results. ICT adoption constraints as well as the remedial steps required to expedite the ICT adoption are also discussed. Keywords: information needs, ICT infrastructure, ICT adoption, agriculture, agribusiness


SEP. 04

TUESD

AY, 2

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2

SEP. 04

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01

2

SEP. 04

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2

SEP. 04

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077

Youth Mediated Communication (YMC) - Agricultural Technology

Transfer to Illiterate Farmers Through Their Children

Yumiko Mori NPO Pangaea

[email protected]

Toshiyuki Takasaki NPO Pangaea

[email protected]

Yasukazu Okano NPO Pangaea

[email protected]

Tran Than Thi Ngan Hoa Ministry of Agriculture and Rural Development

[email protected]

Takaharu Kameoka Graduate School of Bioresources

Mie University [email protected]

Takashi Togami

Graduate School of Bioresources Mie University

[email protected]

Kyosuke Yamamoto Graduate School of Bioresources

Mie University [email protected]

Akane Takezaki

National Agricultural Research Center National Agriculture and Food Research Organization

[email protected]

Ryoichi Ikeda Tokyo University of Agriculture

[email protected]

Toru Ishida Kyoto University

[email protected]

Donghui Lin Kyoto University

Seishi Ninomiya

Institute for Sustainable Agro-ecosystem Services The University of Tokyo

1-1-1 Midoricho, Nishitokyo, Tokyo 188-0002, Japan [email protected]


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

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01

2

078

SEP. 04

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01

2

SEP. 04

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2

ABSTRACT

Proper technology transfer to farmers is inevitable to promote sustainable agriculture of the 21st century particularly in developing countries. Illiteracy of farmers, however, prevents them from obtaining sufficient information and knowledge. In this study, we propose a totally new idea to transfer agricultural knowledge and information to illiterate farmers based on a model named Youth Mediated Communication (YMC) which utilizes their children educated at school as messengers between their parents and remote experts. In this model, children’s tasks are (1) to interview their parent farmers about present issues in their faming, (2) to send the queries to remote experts, and to receive advices from them by operating PCs available in a village centre, (3) to transfer the advices to their parents and (4) to collect information such as temperature and crop status in their parents’ fields by using analogue tools and mobile phones in order to help the experts to feedback proper advices. For this idea, we provided several new mechanisms such as (1) user friendly software to ease the information exchange among children and experts, (2) common Q&A sets which help children to make their queries, (3) graphical cards to help farmers’ understanding, and (4) machine translator to utilize foreign experts and to guarantee the extensibility of the approach to other countries. We had a test bed at a village in Vietnam and 29 paddy rice families participated. Though we are still on a process to evaluate the idea, we have realized the usefulness of the approach in several aspects. Keywords: Illiteracy, children, information transfer, human sensors


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

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01

2

SEP. 04

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01

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079

Agricultural Weather Inquiry System

Ming-Hwi Yao Agricultural Engineering Division


Chun-Jen Chen

Agricultural Engineering Division Taiwan Agricultural Research Institute

+886-4-23317711

ABSTRACT

The “Agricultural Weather Inquiry System” developed by the Taiwan Agricultural Research Institute(TARI) provides interactive search via Internet maps. Farmers can search for the nearest weather station and weather information, and use the spatial surfacing function to inquire about the probability of weather disasters (such as rainfall damage, drought damage, cold damage and wind damage). This information can be used as a reference to protect current crops from disasters and select the suitable type of crops for the next planting season. This system also provides weather information such as long-term weather tendencies in different regions, instantaneous weather information, weather disaster prevention technology, conversion of weather measurement units, origins of the 24 solar terms, proverbs, Farmer's Almanac and query of weather information between solar terms. It provides farmers, farming companies and researchers an abundant and user-friendly agricultural weather information service. Keywords: Agricultural weather, disaster, Geographic Information System.

Seminar 8- Decision Support Systems (1) / Seminar (08)-01

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

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01

2

080

SEP. 04

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AY, 2

01

2

SEP. 04

TUESD

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01

2

Establishment of the Rational Fertilization Promotion Website

Tsang-Sen Liu Division of Agricultural Chemistry

Taiwan Agricultural Research Institute +886-4-23317426 [email protected]

Yu-Wen Lin

Division of Agricultural Chemistry Taiwan Agricultural Research Institute

[email protected]

Horng-Yuh Guo Division of Agricultural Chemistry


ABSTRACT

We proposed a system that can integrate the analysis service and laboratory management systems of the Taiwan Agricultural Research Institute (TARI) and all agricultural research and extension stations are designed to provide a universal analysis service and laboratory management system. Such a system can be specifically tailored to an operating system pursuant to the experimental procedure of every unit. Every unit is responsible for maintaining their respective operating systems. The TARI would consolidate the spatial data from the analysis service provided by every unit, integrate them with other map data, and visualize the integration results in a friendly way. A statistical query module was provided as well to help the decision making. To effectively share the test data from the analysis service provided by the TARI and all agricultural research and extension stations, we had spatialized the test data according to their cadastral data or addresses. Once the data was integrated, we developed an integrated analysis service query system for the researchers in the TARI and all agricultural research and extension stations to query and share data. The available functions include sample query, sample point visualization, and statistical chart. The sample query function allows researchers to view the sample test results from all agricultural research and extension stations. This function can visualize the test sample with cadastral data on the sample point in a GIS screen. The statistical chart module can plot line charts and histograms based on different crops and test values. For the purpose of serving an extensive farmer base, the TARI and all agricultural research and extension stations have been conducting researches on rational fertilization and accumulating the test data of many farmlands and the research information about rational demonstration points by providing farmers with the sample test service. Once the basic map data was obtained by integrating the climate and soil map data collected by the TARI with the GIS platform, we integrated and compared the farmland, climate, and soil data by adding the data of rational fertilization demonstration points and the test data of farmlands with cadastral data. With regard to exploiting the full potential of the spatial application of farmland test data and circulating such data, we built the rational fertilization network integration system (http://taiwansoil.tari.gov.tw/slimsGIS/). This system utilized GIS technology to integrate the spatial information about rational fertilization points, farmer sample points, soil, and climate on the map page. This allows operating units and the public to raise analysis query intuitively. The future data integration development can aim for the inclusion of the data from other units and the interfacing of the real-time data, including the agriculture-related GIS map data of weather, climate, and aerial orthoimage, by means of database or WMS publishing to maximize the efficacy of the system. Keywords: Analysis service; nutrients diagnosis; fertilization recommendation


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

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2

SEP. 04

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2

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081

Study on Management Support System of Crops of Taiwan

Shi-Hua Yang Agricultural Economics Division

Taiwan Agricultural Research Institute 886-4-23317655

[email protected]

Chun-Tang Lu Crop Science Division


Kuo-I Chang

Department of Applied Economics National Chung Hsing University

[email protected]

Tsai-Ping Chang Agricultural Economics Division


Yuan-Jun Chen

Agricultural Economics Division Taiwan Agricultural Research Institute

[email protected]

ABSTRACT

In the Program, we intend to establish an agricultural technology system database for crop management, expecting to provide existing or new farmers a new strategy to improve their agricultural management. This database will allow them to reasonably assess management benefits and obtain management data for their reference so as to facilitate the development and implementation of the related management plans. Keywords: Agricultural technology system database, farming plan, management support, cost-benefit analysis


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

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01

2

082

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

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01

2

Information Platform for The International Floriculture Iindustry

Cheng-Yen Tsai Technical Service Division and Agricultural Economics Division

Taiwan Agricultural Research Institute +886-4-23317650

[email protected]

Tsai-Ping Chang Technical Service Division and Agricultural Economics Division


Hsiu-E Chiang

Technical Service Division and Agricultural Economics Division Taiwan Agricultural Research Institute

[email protected]

ABSTRACT

Flower production is one of the fastest growing domains of agriculture. As the international competition in flower production is fierce, the information, logistics, and management of the production the must be sufficient for the decision maker’s reference. The aim of this study that selected the floral crop as the major subject, and collected and organized domestic and foreign literature and industrial data to establish an information platform for the floriculture industry. The framework of the platform consists of two databases: digital database and literature database. The main data sources of the digital database are from the AIPH and Japan Flower Promotion Center and incorporated the data of marketing in Taiwan. By gathering data from these sources, we can get more complete data of flower production-marketing. This information platform provides a query function pertaining to four major categories: “World Trade Volume,” “Trade Flow of Major Countries,” “Topic,” and “Production Data.” For the literature database, we collected important literatures in relation to major flowers, organized them and shared what we learned. By gathering feedback and sharing what has been learned the experience from the members of this system, the database can rapidly gather and accumulate literatures, satisfying the needs of the floriculture industry. Keywords: Floriculture industry, information platform, international market, market competitiveness


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

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2

SEP. 04

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2

SEP. 04

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083

The Establishment and Application of Decision Support System of Selecting Elite Holstein Dairy Bull for Mating to Improve Progeny

Performance

Jih-Yih Chen Department of animal science

Hsinchu Branch, Livestock Research Institute, Council of Agriculture, Executive Yuan

+886-37-911693#239 [email protected]

Kuo-Hua Lee

Department of animal science Hsinchu Branch,Livestock Research Institute,


Chu-Li Chang

Department of animal science Hsinchu Branch,Livestock Research Institute,


ABSTRACT

Decision support system of selecting elite Holstein dairy bull for mating to improve progeny performance (SBIP, website: http://www.tlrihc.gov.tw) is developed by Hsinchu branch, Livestock Research Institute, Council of Agriculture. The objective of the development is to promote the knowledge development and applications for management of dairy farming, leading the industry to a digital, Knowledge-based economy age, which is the first professional dairy cattle breeding internet platform in Taiwan. This system consists of five modules: 1, Bull performance information inquiry module: the module provides integrated information of international dairy bull performance (USA, Canada, Holland, Japan), a updating database with a developed traditional Chinese interface for dairy farmers' semen selection. 2, Imported frozen genetic material inquiry module: The imported semen information tables were constructed by the Hsinchu Branch which can provide dairy farmers the latest national semen importation information. 3, Bull Mating simulation module: a simulation mating system which can be queried by animal identification, production information or customized genetic targets to find the suitable mating bulls for cows by computer. 4, DHI extended information management (under construction): The purpose of the module is to increase DHI program value, which provides DHI general information, farm management information, statistics…etc. Dairy farmer could access to the latest cow performance information to improve the efficiency of breeding and management. 5, Dairy expert knowledge base module: Includes professional dairy farming information such as Dairy Farming News digital books and dairy dictionary to afford dairy farmers advanced educational media. This SBIP system helps farmers receiving updating genetic information of bulls (frozen semen) and digital information of DHI cow. Farmers can plan the breeding strategy easily to achieve good performance, ideal body type and longer production life of cows. Keywords: Holstein dairy bull, SBIP, DHI, decision support system


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

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01

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084

SEP. 04

TUESD

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01

2

SEP. 04

TUESD

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01

2

Development of Feature Extraction and Pattern Recognition Programs for Similarity Evaluations of Phalaenopsis Flowers

Shao-Peng Huang Technical Service Section, Taiwan Seed Improvement and Propagation Station,

Council of Agriculture, the Executive Yuan +886-4-25825426 [email protected]

Ming-Yenn Chou

Technical Service Section, Taiwan Seed Improvement and Propagation Station, Council of Agriculture, the Executive Yuan

[email protected]

Lih-Guong Jang Information & Communication Technology Department,

Industrial Technology Research Institute [email protected]

ABSTRACT

Orchids, with a production value of NT$3.2 billion in 2010, are an important Taiwanese industry for both the domestic and international markets. It is also one of the top government priorities for agricultural development. The government encourages industry innovation by implementing a registration system to protect owner interests. To be included in the system, applications must be thoroughly reviewed by experts to verify the novelty, distinctness, uniformity, stability, and denomination of the flower variety being submitted. As applications increase, so does the workload to check and ensure that newly submitted flowers are not already registered, which could result in a waste of time. Thus, before sending in an application, owners must perform an independent check on the internet to help the registration process become more efficient. We developed a PC-based Phalaenopsis image recognition program using Borland C++ Builder 6.0 that works with an SQL database and includes two subroutines for feature extraction and similarity matching. The feature extraction subroutine analyzes the color image hues of a target flower petal by classifying it according to a 10-color category scale and ranks those into the first and second primary color groups. Four feature values of the hue and saturation derived from the first and second primary colors are used to form a feature vector of the flower that is logged into the database. Currently, a 130 Phalaenopsis variety database has been established based on feature analysis. The similarity matching subroutine uses a user-specified target flower to retrieve color features from the database to calculate Euclidean distance and to determine the degree of similarity. The information from the database, such as flower size or if it is a mixed color flower when compared to the target flower, is recorded. Finally, the name of an eligible flower variety with close similarity is saved into a corresponding file, with each file containing up to 24 sorted denominations with characteristics similar to the target flower species. Actual program testing has been shown to deliver the expected functionality by providing a reference for experts reviewing newly submitted Phalaenopsis varieties. Keywords: Phalaenopsis, species identification, color features, Euclidean distance, flower identification


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

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01

2

SEP. 04

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085

Proposal of Agricultural Data Integration System Based on

Semantic MediaWiki

Takuji Kiura Agricultural Research Center

National Agriculture and Food Research Organization 3-1-1, Kan-nondai, Tsukuba Ibaraki, 8666, Japan


Tomokazu Yoshida

Agricultural Research Center National Agriculture and Food Research Organization

[email protected]

Kei Tanaka Agricultural Research Center


Masaaki Omine

Kyusyu Okinawa Agricultural Research Center National Agriculture and Food Research Organization

[email protected]

Shigehiro Honda Mitsubishi Space Software CO.,LTD.

[email protected]

ABSTRACT

Two years ago, we started collecting Japanese words or terms used in agricultural software by using Semantic MediaWiki (SMW), to develop data exchange system among them and create a virtually integrated database for agricultural field data. In Europe, a standard XML schema named agroXML already exists to exchange agricultural data. But unfortunately, some items, required and stored in Japanese agricultural software, are not defined in agroXML. Therefore, we developed a part of FarmXML, named FIX-pms referencing agroXML. To input the words used in FIX-pms, agroXML and other XML schema relating agriculture data description into our SMW system, we developed a XML schema import tool. We also developed a relation viewer among the terms in our SMW system. In this report, we describe FarmXML and two tools we developed in detail. We also propose the way creating a virtual integrated database for agriculture using our SMW system. Keywords: Data Exchange, Agricultural Field Data, Virtual Integration, FarmXML, FIX-pms

Seminar 9- Standardization & Interoperability / Seminar (09)-01

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

086

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

Metadata Providing from Content of Local Archives for Central

Agriculture and Aquaculture Repository

Michal Stoces Department of Information Technology, Faculty of Economics and Management

Czech University of Life Sciences Prague Kamycka 129, 165 21 Prague, Czech Republic


Pavel Simek

Department of Information Technology, Faculty of Economics and Management Czech University of Life Sciences Prague

[email protected]

Jan Jarolimek Department of Information Technology, Faculty of Economics and Management

Czech University of Life Sciences Prague [email protected]

Jiri Vanek

Department of Information Technology, Faculty of Economics and Management Czech University of Life Sciences Prague

[email protected]

ABSTRACT

In our paper we discuss basic objectives, methods and results of the implementation of metadata harvesting from the electronic scholarly open access journal Agris on-line Papers in Economics and Informatics, agrarian WWW portal Agris and Information Systems in Agriculture and Forestry conference archive. In the case of the above stated local archives version 2.0 of OAI-PMH (Open Archive Iniciative – Protocol for Metadata Harvesting) is used for metadata harvesting. This protocol defines the mechanism of the metadata’s records’ harvesting. It means that OAI-PMH provides a simple technical means to make metadata open to services based on widely-spread standards HTTP (Hypertext Transfer Protocol) and XML (Extensible Markup Language). There was not available OAI-PMH solution at repositories at CULS Prague and a content of the repositories was not descripted in metadata. Before the implementation of OAI-PMH solution itself for the needs of CULS Prague repositories an analysis of free and easy to install software (SW) supporting OAI-PMH was carried out – for example DSpace, Drupal, etc. The result of the analysis proved that – because of technical reasons – it is not possible to install freely accessible SW and run it at the Czech University of Life Sciences Prague or that the analyzed software doesn’t fully provide required service. This was the main reason why the Czech University of Life Sciences Prague developed its own universal solution consisting of a new repository for metadata storing and an application for servicing OAI-PMH requests and harvesting data from individual repositories of the Czech University of Life Sciences Prague. Keywords: Metadata, content, repository, protocol for metadata harvesting, VOA3R


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

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01

2

SEP. 04

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2

SEP. 04

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087

Monitoring System with Flexibility and Movability Functions for

Collecting Target Images in Detail

Tokihiro Fukatsu Agroinformatics Division, Agricultural Research Center National Agriculture and Food Research Organization 3-1-1, Kannondai, Tsukuba, Ibaraki 305-8666, Japan


Masayuki Hirafuji

Memuro Upland Farming Research Station, Hokkaido Agricultural Research Center National Agriculture and Food Research Organization

[email protected]

Takuji Kiura Agroinformatics Division, Agricultural Research Center National Agriculture and Food Research Organization

[email protected]

ABSTRACT

In modern agriculture, it has recently become popular to monitor crop status in open fields with sensor networks such as Field Servers. A key technology for use in this monitoring is image data that can be easily collected at low cost as a result of the development of information technology. High resolution image data has the potential to provide useful information including information regarding changes in growth stage, the occurrence of pests, the degree of maturity, and so on. However, it is difficult to deploy monitoring equipment close to the target crops to collect image data in detail because deploying equipment within crop fields disturbs some farming operations and the growth of crops. Moreover, image data captured in close proximity to the targets can be unclear due to the effects of wind and the interference of growing leaves, and the target area also changes depending on the crop stage and condition. To solve these problems regarding the collecting of target images in detail, we have proposed an advanced monitoring system with flexibility and movability and developed a proto type system of the robotic Field Server. The robotic Field Server consists of a Field Server with image sensors, a locomotion unit so that it can move itself, and a handling actuator for monitoring targets closely in detail. The features of the proposed system are intended to obtain wide and dense monitoring coverage, to measure many targets with one device, to approach targets from different directions, and to monitor targets clearly by taking unnecessary objects out of the way. We conducted an experiment to collect crop images as the proto type Field Server was moved around the field and to clarify the potential and effectiveness of the locomotive monitoring system. Keywords: image data, Field Server, mobile robot, crop monitoring


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

088

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

Incremental Dynamic Simulation and Web Based Cooperative

Organization for Agrifood Actors and Governmental Authorities

Monika Varga Department of Information Technology

Kaposvar University 40 Guba S, Kaposvar, 7400 Hungary


Sandor Balogh

Department of Information Technology Kaposvar University

[email protected]

Bela Csukas Department of Information Technology

Kaposvar University [email protected]

ABSTRACT

Sufficient and healthy food needs new organizing principles, supporting the cooperation amongst the agrifood actors, as well as with the governmental and global authorities. Recently we have developed a new approach for the coordination and control of the process networks, consisting of quite heterogeneous elements, from the small family farms to the big companies with professional ERP systems. The Direct Computer Mapping based methodology applies an incrementally evolving model of process states and actions, operated by the interoperability center. Starting from the initial models, generated by the center’s experts, the model database can be upgraded via a very simple web interface by the actors, actualizing the simplified dynamic simulation model of the gross mass balances for the respective processes. The globally unique identification of the various products is solved by the utilization of GS1 codes. Qualitative tracking and tracing can be solved by forward and backward dynamic simulation of these simplified process models, while the complexity of the problem solving is less, than in the case of usual graph route search. In addition, with the knowledge of the known, measured or estimated stoichiometries, the method can easily be extended with ad hoc determined components for the quantitative tracking or tracing of the given harmful or useful ingredients. The methodology makes possible to recognize the (sometimes hidden) resources and wastes, to analyze the added values along the chains and, in a longer time horizon, to study how some investigated ingredients appear in the basket of the typical consumers’ groups. The solution outlines an organizational architecture, where the so-called Agrifood Interoperability Centers help the cooperation of the actors, as well as the integrated communication between the actors and the various authorities, in the sense of the future economic paradigm of the neighborhood dominant, cooperative processes. Keywords: traceability, dynamic mass balance, web-based model building, interoperability center


SEP. 04

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AY, 2

01

2

SEP. 04

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01

2

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SEP. 04

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089

Cyberinfrastructure for the Long-Term Ecological Research on

the Agricultural Ecosystem

Yueh-Kuei Chan Agricultural Chemistry Division

Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan +886-4-23317409

[email protected]

Chi-Ling Chen Division of Agricultural Chemistry

Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan [email protected]

Hong-Shu Wu

Department of Agronomy, Chiayi Agricultural Experiment Branch Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan

Chin-Ching Lin

Crop Environment Division Tainan District Agriculture Research and Extension Station, Council of Agriculture, Executive Yuan

Win-Chang Sun Yunlin Branch Farm

Tainan District Agriculture Research and Extension Station, Council of Agriculture, Executive Yuan

Ping-Chun Lucy Hou Department of Life Sciences

National Cheng Kung University

Ming-Hwi Yao Agricultural Engineering Division

Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan

Jen-Kuan Shii Technical Service Division

Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan

Chien-Wen Chen Botanical Garden Division

Taiwan Forestry Research Institute, Council of Agriculture, Executive Yuan

Chau-Chin Lin Forest Protection Division

Taiwan Forestry Research Institute


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

090

SEP. 04

TUESD

AY, 2

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2

SEP. 04

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2

ABSTRACT

Extensive collection and comprehensive analysis of environmental and ecological data are important in understanding ecological phenomena in agricultural ecosystems. The objective of this study was to explore the potential of establishing wireless sensor network (WSN) for collection of environmental and ecological data at three field research sites in Taiwan based on the new methodology of eco-informatics. The WSN system was installed at the lychee orchard and Chi-Ko Branch Farm in the Chiayi Agicultural Experiment Station (CAES) of the Taiwan Agricultural Research Institute (TARI) and the Yuinlin Branch Station of the Tainan District Agricultural Research and Extension Station. The sensors such as thermal, visual, infrared, and acoustic with high sensitivity for collection of environmental data were installed in each site to monitor a wide range of ambient conditions and ecological parameters, including meteorological phenomena, eddy fluxes, nitrogen leaching, crop growth, and ecological soundscape. Data collected from the three experimental sites were sent to the database server at TARI for analysis by researchers. Results showed that the establishment of WSN improved accuracy and quality of environmental data collected from the three sites as the operation of sensors could be maintained by instant detection of problems derived from sensors. The format of data collected in this study was based on the Ecological Metadata Language (EML), that can be easily shared for researchers in the field of ecological studies by internet. Keywords: Agricultural ecosystem, long-term ecological research, wireless sensing network, ecoinformatics, EML


SEP. 04

TUESD

AY, 2

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SEP. 04

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01

2

SEP. 04

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SEP. 04

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01

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091

A Decision Support System for Palm Oil Based Industrial

Planning in Sumatera Economic Corridor

Hermawan Prasetya Center for Assessment of Policies for Competitiveness Enhancement

National Agency for Assessment and Application of Technology BPPT 2nd Building, 11th Floor, Jl. MH Thamrin 8 Jakarta, Indonesia

[email protected]

Yandra Arkeman Department of Agroindustrial Technology

Bogor Agricultural University [email protected]

ABSTRACT

Data to support decision making in biofuel industry planning were amount and complex, data should be managed and used in certain models. This paper will describe design of palm oil based industrial decision support system to help out industrial planning process in Sumatera Economic Corridor. Result of the paper were (1) Database Management System contain of five tables, i.e.: population data, palm oil estate, capacity of palm oil industry, regional infrastructures and emission of greenhouse effect, while Model Bases Management System, contain of three models, i.e.: System dynamic model was used to predict supply and demand of biofuel also this models was employed to predict emission of greenhouse gas in life cycle of palm oil processing , Comparative Performance Index (CPI) was address to determine appropriate location of palm oil industry plant and mathematical model was implemented to calculate optimum capacity of palm oil based industry. The DSS can be contributed to support decision making process in palm oil based industry planning significantly, cause it was designed in line with need of information and analysis result for these activities.

Keyword: Decision Support System, Palm Oil , Sumatera Economic Corridor


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

092

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

Apollo: Ration Formulation and Analysis Programs for Swine

James W. Oltjen Department of Animal Science University of California at Davis

1 Shields Ave, Davis, CA 95616, USA 530-752-5650

[email protected]

Abbas Ahmadi Department of Animal Science University of California at Davis

[email protected]

ABSTRACT

The Apollo program is a package of computer programs for formulating or analysing rations for swine. It consists of six modules: Least cost ration for growing or finishing swine; Least cost ration for breeding swine; Ration evaluation for growing or finishing swine; Ration evaluation for breeding swine; Feed loading and unloading program; Feed library editor. This paper describes the least cost ration formulation module for growing and finishing swine. The input portion of this module consists of five screens. In the first screen (Animal Information) the user enters beginning body weight, ending body weight, daily gain, overhead cost, breed, sex, feed additives, pelleting, free floor space per pig, pigs per pen, average ambient temperature, and feed intake adj. In the second screen, (Nutrient Requirements) the program calculates the nutrient requirements for the specified animal: Digestible energy, crude protein, calcium, phosphorus, bio avail phosphorus, lysine, threonine, and tryptophan. In the third screen (Feed List) the user selects a list of feeds from the feed library. In the fourth screen (Feed Group List) the user can specify a minimum or maximum for each feed group. In the fifth screen (Ratio List) the user specifies a minimum or maximum for nutrient ratios such as the ratio of calcium/phosphorus or zinc/calcium. The program then calculates a least cost ration and displays the results in the four output screens: In the first screen (Cost and Performance) the program shows the daily feed intake, daily gain, and cost per head per day. In the second screen (Ration Composition) the program shows the feeds in the ration. In the third screen (Price Range) the program shows the price at formulation and the opportunity price for each feed. In the fourth screen (Nutrient Analysis) the program displays the complete nutrient analysis of the ration. Keywords: Decision support system, swine, ration formulation, linear programming.


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

093

Grazing Module for Dairy Cows


[email protected]

Pablo Chilibroste Departamento Producción Animal y Pasturas

Estación experimental Mario A. Cassinoni (EEMAC) Universidad de la República

[email protected]

Peter H. Robinson Department of Animal Science University of California at Davis


[email protected]

ABSTRACT

PC Dairy is a package of computer programs for formulating and analysing rations for dairy cows. We have added a grazing module to this program to calculate pasture intake of grazing dairy cows. The grazing module consists of three components, being input, calculation and output. In the input section, users enter pasture, herd and weather data. The program then calculates the maximum pasture dry intake (kg DM/d), which can be used as a new feed in the feed list of the PC Dairy program to formulate a least cost ration. Keywords: Decision support system, dairy cow, pasture intake, grazing, ration formulation.


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

094

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

Evaluation of Fecal Coliform Samples from Pensacola Bay,

Florida (USA) Using Pearl Sanitation Model

Fred S. Conte Department of Animal Science University of California at Davis


[email protected]


[email protected]

ABSTRACT

The United States, National Shellfish Sanitation Program (NSSP) guidelines allow shellfish growing areas to be open for harvest when the 90th percentile values of fecal coliform samples, in a five-tube test, are below the NSSP limit of 43 MPN/100 mL. We hypothesize that the estimated 90th percentile criterion, which is currently used by NSSP, is not sufficient to protect the public from risks caused by consumption of biologically contaminated shellfish. To reduce this risk, the NSSP limit should be lowered to 26 MPN/100 mL, because when the estimated 90th percentile values of fecal coliform samples are above the 26 MPN/100 mL, the upper limit of these values exceeds the current NSSP criterion To test our hypothesis, we used 5,541 fecal coliform collected by the Division of Aquaculture, Florida Department of Agriculture and Consumer Services, from shellfish growing areas of Pensacola Bay, Florida, over a period of ten years from 4 January 2000 to 2 July 2010. The result of this study suggests that the Florida state regulatory agency, although not lowering the NSSP limit officially, in practice does manage their closure rules for Pensacola Bay shellfish growing areas at the compliance criterion of 26 MPN/100 mL. Keywords: Decision support system, Modelling, Shellfish sanitation, Water quality, Rainfall closure rules.


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

095

Design of Cocoa Beans Transportation Model by Using Fuzzy

Integer Transportation

Iphov Kumala Sriwana Industrial Engineering Dept.

Esa Unggul University, Indonesia Jl. Raya Tol Tomang No. 9 Kebon Jeruk Jakarta Barat 11510

081318148580 [email protected]

Yandra Arkeman

Agro-Industrial Technology Bogor Agriculture Institute Indonesia

[email protected]

ABSTRACT

The aim of this research is to design a synchronization between the availability of cocoa beans in the cocoa plantation (supply) with factory capacity (demand) and get a minimum distribution cost. This research completed by using Fuzzy Integer Transportation (FIT). The Reasons to use Fuzzy Integer Transportation because The amount of supply and demand often fluctuate. The availability of indonesian cocoa beans was about 874.407 tons until 907.831 tons, While the total capacity is as much as 430.440 tons – 1.050.600 tons. Distribution Cost for λ(1) =0 are about 48.169.663.450 IDR (feasible) because the fuzzy Goal are G = [0, 108.818.015.576.000]. Keywords: Cocoa beans, Fuzzy Integer Transportation


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

096

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

A Framework to Develop Content for Improving Agromet Advisories

M. Mahadevaiah Agro Climate Research Centre,

Acharya NG Ranga Agricultural University Hyderabad, India. +91-9700651031

[email protected]

D. Raji Reddy Agro Climate Research Centre,

Acharya NG Ranga Agricultural University

G. Sashikala Agro Climate Research Centre,


G. Sreenivas Agro Climate Research Centre,


P. Krishna Reddy IT for Agriculture and Rural Development Research Centre

[email protected]

B. Bhaskar Reddy IT for Agriculture and Rural Development Research Centre

K. Nagarani

IT for Agriculture and Rural Development Research Centre

L.S. Rathore India Meteorological Department, India

K.K. Singh

India Meteorological Department, India [email protected]

N. Chattopadhyay

India Meteorological Department, India

ABSTRACT

India Meteorological Department (IMD) is providing Agro-meteorological Advisory Service (AAS) to Indian farming community through about 130 Agro Meteorological Field Units (AMFUs) spread all over India. Based on the weather prediction, the AAS bulletins are prepared and delivered by AMFUs twice in a week around the year. The AAS bulletins contain the possible risk mitigation steps for all the weather sensitive agricultural operations for the crops grown in the area/region of AMFU. The IMD is making research efforts to improve the quality of agromet bulletins. In this paper, after explaining the components of agromet bulletin, we propose the content development framework. The proposed content development framework allows the development of content related location-specific weather sensitive crop operations to improve the quality of agromet bulletins.

Key words: agromet bulletin, risk management, farm management, extension service

Seminar 11- Applications for agriculture (1) / Seminar (11)-01

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

097

Application of Laboratory Information Management System in Tea Pesticide Analysis Laboratory

Chia Chang Wu Wunshan Branch, Tea Research and Extension Station

Council of Agriculture, Executive Yuan +886-2-2665-1801#21 [email protected]

Hsiao Ying Yang

Tungting Station of Tea Research and Extension Station Council of Agriculture, Executive Yuan

[email protected]

Ya Hui Chuang Tungting Station of Tea Research and Extension Station


Yu Ju Huang

Nantou Pesticides Inspection Station of Tea Research and Extension Station Council of Agriculture, Executive Yuan

[email protected]

Li Chen Lin Tungting Station of Tea Research and Extension Station


Ming Lun Xie

Nantou Pesticides Inspection Station of Tea Research and Extension Station Council of Agriculture, Executive Yuan

[email protected]

Iou Zen Chen Tea Research and Extension Station


ABSTRACT

The aim of this paper is to establish laboratory information management system (LIMS) for the tea pesticides analysis accredited laboratories in Taiwan. The LIMS could help Tungting station and Nantou pesticide inspection station to computerize the pesticide analysis data. Meanwhile, we have completed 8 management subsystems, including the basic information management subsystem, the sample processing management subsystem, the analysis data management subsystem, the analysis report management subsystem, the inspection standard management subsystem, the instrument connection management subsystem, the laboratory personnel training management subsystem and the laboratory quality document management subsystem. Using the automatic tea pesticide analysis information management system could help laboratory operations to reduce the amount of excess paperwork and human resource, which could ensure the analysis data quality is traceable and reliable.. Keywords: Laboratory information management system (LIMS), Tea, Pesticide analysis, Traceable


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

098

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

Current Status and Outlook of the Taiwan Agricultural Pest and Natural Enemy Database and Query System

Shiuh-Feng Shiao Department of Entomology National Taiwan University

+886-2-27350872#205 [email protected]

Ray Ruey-Jang Chang

Plant Protection Division Bureau of Animal and Plant Health Inspection and Quarantine, Council of Agriculture, Executive Yuan

Chi-Yu Chen

Department of Plant Pathology National Chung-Hsing University

Ling-Ming Hsu

Division of Public Threat Control Taiwan Agricultural Chemicals and Toxic Substances Research Institute, Council of Agriculture, Executive Yuan

Ting-Chin Deng

Plant Pathology Division Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan

Shu-Pei Chen

Applied Zoology Division Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan

Shan-Jen Fang

Technical Service Division Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan

ABSTRACT

The development status of an agricultural pest and natural enemy database and query system for Taiwan are discussed in the current study. Taiwan has begun developing its own characteristic database of pests through projects supported by the Bureau of Animal and Plant Health Inspection and Quarantine, Council of Agriculture. In recent years, disease, pest and weed experts have progressively compiled the database’s contents, developed a shared system framework for back-end management and front-end usage, and built search tools of various functions according to the data characteristics and usage requirements. The challenges faced during the system-building process and their solutions form the focus of the current study. In terms of data categorization, key elements such as classifications, crop types, diseases, pest and weed invasions, geographical distributions, and informational literature are introduced; solutions for cross-data category transformation and linkages were also raised. In addition, the current study also raised mitigations and improvements specifically for the front-end user search platform and the back-end data provider management interface. The future development trends and possible future challenges for the database are discussed at the end of the study, where recommendations are made for meta-data standardization and distributed public domain database development prospects. Keywords: Agricultural pest, natural enemy, databasing, query system, Taiwan


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

099

Application of RFID System in Production Management for

Floor-Raised Poultry Breeders

Chu-Yang Chou Department of Bio-Industrial Mechatronics Engineering

National Taiwan University +886-2-33665333

[email protected]

Yan-Nian Jiang Department of Animal Science and Technology

National Taiwan University [email protected]

Jui-Jen Chou

Department of Bio-Industrial Mechatronics Engineering National Taiwan University

[email protected]

Chien-Yu Chen Department of Bio-Industrial Mechatronics Engineering


An-Chi Liu


[email protected]

Jeng-Fang Huang Yi-Lan Branch, Livestock Research Institute Council of Agriculture, the Executive Yuan

[email protected]

Hsiu-Chou Liu Yi-Lan Branch, Livestock Research Institute Council of Agriculture, the Executive Yuan

[email protected]

ABSTRACT

The poultry industry has an amount over 60 billion NTD in Taiwan (COA Annual Report 2011), and production management is the key factor for the whole industry. The information including breeding, performance test, screening, mating, collection of mated eggs, fertilization rate, incubation rate, feeding amount before laying period and body weight, are very important to management of the poultry breeders. The collection, storage and analysis of these useful data are highly related to the successful management of the breeder farm. The RFID (radio frequency identification) is a technology which integrates the tag, reader and middleware. Some special features of RFID are:


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

100

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

non-contact automatic sensing, object state recording and the storage of data. Therefore, to improve production management and create more profit of poultry industry by RFID technology is an existing problem worthy to be resolved. The objective of this study is to develop an egg-collecting system integrated with the RFID for floor-raised poultry housing. The experiment has been performed at Yi-Lan Branch, Livestock Research Institute, Council of Agriculture, Executive Yuan. RFID system was installed integrated with laying cage. The antenna was placed on laying board and the tag-rings were put on legs of each duck. When ducks entering the laying cage, tags will be detected and the data will be transmitted to PC by the wireless sensing network. An Egg collection system has been developed and could be started and stopped automatically, and a PLC counter was installed to count the number of eggs produced for different laying cages. Through the interpretation of the data collected, the laying efficiency for each testing duck could be obtained. Based on the results shown, we may conclude the integrated RFID and egg collection system is able to improve the production management successfully. Keywords: Radio frequency identification (RFID), Laying cage, Egg-collecting system, Tag


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

101

Application of Radio Frequency Identification (RFID) Technology in Dairy Herd Electronic Management

Chu-li Chang Taiwan livestock Research Institute Hsinchu Branch


[email protected]

Ssu-Han Wang Taiwan livestock Research Institute Hsinchu Branch


Kuo-Hua Lee

Taiwan livestock Research Institute Hsinchu Branch Council of Agriculture, Executive Yuan

[email protected]

ABSTRACT

Radio Frequency Identification (RFID) Technology used in dairy farm for e-management includes RFID electronic ear tags, readers, data wireless transmission, and the Internet. The RFID electronic ear tag used on the dairy cow is a passive and ultra-high frequency (UHF) tag sealed with polyurethane material. The outer appearance of the tag is printed with a unique cow serial number and is tagged to the inner side of the cattle’s right ear, providing herd managers the ability to visually inspect the identity of each individual cattle. Farm owner at the barn can use hand-held reader with PDA function to scan the unique number marked on electronic ear tags and read the basic information stored in the tag. The reading distance is up to 80cm. Afterwards, the obtained unique cattle serial number is used initiate query for information on the performance of breeding, dry milk period, calving, disease treatment, vaccination, body type, weight, and body temperature which are collected and updated. In milking parlor, there is a fixed reader installed in the place. Two antennas with different locations and angles on each side of the walkway entrance are positioned. The fixed reader is positioned to read the electronic ear tags on cows as they walk through the entrance of the milking parlor one by one. A computer screen installed inside the milking parlor displays each captured cow’s number, milk yield from previous milking event, and with various color warnings to alert the staff to pay attention to the particular cows, which should be urgently improved. The data of cows is directly collected and updated at the barn by scanning and reading the cattle number using the hand-held reader without any observation and writing by. All date data that need to be updated is done directly by using the computer system date through pointing and clicking during file savings. All other performance data can also be entered with click method before they are wirelessly transmitted to the farm computer. The reports of queried cattle are then printed out as reports. After it is downloaded to the farm computer via the network, the cows’ performance information processed at the DHI data processing centre wirelessly transmitted to the hand-held reader. By managing the herds using a convenient, accurate, timely, automated, and paperless reporting method can fully improve DHI and dairy farm operation efficiencies. Keywords: Radio Frequency Identification (RFID) Technology, reader, electronic ear tag

Seminar 12- Sensor & RFID Applications / Seminar (12)-01

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

102

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

Application of RFID in the Production Traceability of Native Chicken

Hsiao-Lung Liu Animal Industry Division, Livestock Research Institute

Council of Agriculture, Executive Yuan +886-6-5911211#357 [email protected]

Ting-Li Liu

Animal Information Planning Section Council of Agriculture, Executive Yuan

Yih-Fwu Lin

Corresponding Author Animal Industry Division, Livestock Research Institute


Che-Ming Hung

Animal Industry Division, Livestock Research Institute Council of Agriculture, Executive Yuan

Chao-Hsien Hsieh

Animal Industry Division, Livestock Research Institute Council of Agriculture, Executive Yuan

Yu-Shin Cheng

Deputy Director’s Office, Livestock Research Institute Council of Agriculture, Executive Yuan

Liang-Yuan Wang

Department of Food Science Tunghai University Department

ABSTRACT

In order to promote the overall competitiveness of the chicken industry and consumers safety cognition of poultry meat products, the Livestock Research Institute, Council of Agriculture, Executive Yuan has utilized the “poultry foot ring” combined radio-frequency identification (RFID) and barcode identification technology to introduce feeding management of the native chicken production site. The Personal Digital Assistants (PDAs) records the data of the native chicken production traceability completely. The “poultry farm commercial poultry production flow operating system” was also developed so that chicken farmers may set individual chicken farm standard operating procedures as required. Digitizing applications to assist in everyday feeding and management tasks not only strengthens control of internal operations, it effectively enhances the farm’s operational efficiency. The PDA is used to save production traceability information onto the poultry farm commercial poultry production flow operating system, and complete various production traceability records necessary for the broiler chicken in the system. Once native chickens are of appropriate age, they are delivered to the abattoir by the shipper. Even after depilation, the foot of the native chicken still retains identification in the form of the poultry foot ring so that it is not confused with native chickens from other chicken farms. This forms an important identifying mark so that consumers may recognize the brand of native chicken they love. This achieves the dual benefit of ensuring reasonable profit for producers and also providing consumers with peace of mind in their poultry consumption. Keywords: radio-frequency identification (RFID), poultry foot ring, production traceability, native chicken


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

103

Application of a Wireless Sensor Network (WSN) to Enhance Dairy

Farm Management Efficiency

Ssu-Han Wang Taiwan livestock Research Institute Hsinchu Branch

Council of Agriculture, Executive Yuan +886-37-911693#227

[email protected]

Kuo-Hua Lee Taiwan livestock Research Institute Hsinchu Branch


Chun-Chieh Chiang


[email protected]

Fang-Chun Hsiao Taiwan livestock Research Institute Hsinchu Branch


Jiun-Shiuan Chao


[email protected]

Chu-Li Chang Taiwan livestock Research Institute Hsinchu Branch


ABSTRACT

The aim of this study is to establish Taiwan's own wireless sensor network system for dairy farms to enhance operational efficiency. The system includes: (1) Barn environment sensors providing real-time monitoring of temperature and relative humidity. Whenever the upper limit value of an environmental parameter is exceeded, the barn cooling system of fans, water spray, and mist spray is triggered to start cooling the environment. The system not only can accurately control the environment but can also save water and electricity. (2) An estrus detection system: wireless sensor seals were converted into the form of hoof rings and placed around the front hooves of non-pregnant cows. The rings conduct 24-hour per day automatic recordings of cow footstep vibrations and body positions for signs of change to pinpoint the exact time when estrus occurs. When estrus is signalled, the system quickly sends out text, fax, and e-mail messages to herd managers so that they can provide the cow in estrus with optimal time for mating, thereby raising the pasture reproduction rate. Keywords: wireless sensor network, dairy cows, operation management


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

104

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

Application of Solar Wireless Sensor Network to Monitor

Water-Quality in Cage Aquaculture Zone in the Inner Sea at Penghu, Taiwan

Yi-Lin Lu Penghu Marine Biology Research Center

Fisheries Research Institute +886-6-9953416#137

[email protected]

Chi-Yuan Lin Planning and Information Division


Wann-Sheng Tsai

Penghu Marine Biology Research Center Fisheries Research Institute [email protected]

ABSTRACT

In order to provide long-term monitoring of water quality around Penghu water and the nearby cage aquaculture zone, the buoy or bottom-anchored procedures were used to set up three water quality sonde at separate locations in Penghu inner sea. Each system is powered by solar energy and is integrated with multi-parameter water quality sensors, including depth, temperature, salinity, conductivity, dissolved oxygen, turbidity, and chlorophyll a. It is also embedded with GSM/GPRS wireless transmission and GPS modules. Water quality real-time information will be automatically sent back and uploaded to online database every 30 minutes for web query. The system is designed not only to save labor and time associated with traditional boat-based measuring method, but also to achieve real-time monitoring of water quality in situ for early-warning demands. In addition, a case study of chill event was described in this report, as well as synchronic water quality data of each monitoring sites was also collected for further comparison and discussion. Keywords: solar wireless sensor network, Taiwan-Penghu inner sea, water quality, cage aquaculture


SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

SEP. 04

TUESD

AY, 2

01

2

105

Feasibility Evaluation of Employing Digitized Management on the

Distribution Logistics of Fresh Mushroom

Jyh-Rong Tsay Secretary General Office


Chih-Kai Yang

Agricultural Engineering Division Taiwan Agricultural Research Institute

[email protected]

ABSTRACT

Mushrooms are agricultural products used as food ingredients and health food. With its high economic value and high growth potential, the mushroom industry has become a promising industry of the twenty-first century. The conventional distribution process of fresh mushrooms is completely dependent on manual enumeration and feedback. With large amounts of products to be processed in a short time during the rush hour of distribution, the lack of real-time access of market information often leads to inefficient rationing. The research aimed to assess the feasibility of implementing radio frequency identification (RFID) management technologies by taking advantage of the characteristics of RFID technology. The hardware deployed includes a real-time monitoring facility of distribution logistics and a pilot radio frequency (RF) temperature monitoring and identification system. The software established includes a logistics management system for fresh mushroom distribution center and a weighted distribution simulation system. The functions of the real-time monitoring facility of distribution logistics and management system allowed the recording of tag information during goods collection by hand-held RFID reader and the printing out of receipts. The tag information was transferred in batches to the logistics monitoring server through the GPRS transmission function of the tag reader for real-time recording and displayed at the distribution center. The pilot radio frequency temperature monitoring and identification system is applicable in the fresh mushroom distribution process to monitor and record the temperature of the storage and transportation environments. The retrieval and analysis of RFID tag temperature recording was subsequently executed through the operation interface on a system platform. The weighted rationing module performed order-based real-time rationing simulations to determine the rations of each client according to stock quantity, order quantity, and client credit. The display of the reasonable rationing volume of the supply and demand was estimated in real-time. After initial operation and assessment, the current system was able to mitigate the distribution bottleneck and reduce the production cost. The simultaneous implementation of digital management technologies and production résumé tracking creates relevant electronic information for consumer inquiry. Keywords: Radio frequency identification, fresh mushrooms, distribution, logistics


SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

106

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

Impact Assessment of Agricultural Watersheds Using Geospatial

Data Mining Techniques: A Conceptual Framework

Sreedhar Acharya Nallan School of Computer and Security Science

Edith Cowan University Bradford Street, Mount Lawley-6050, Western Australia

+61 8 9370 6482 [email protected]

Leisa J Armstrong

School of Computer and Security Science Edith Cowan University

[email protected]

ABSTRACT

Application of novel geospatial data mining techniques to real world datasets in the field of agriculture will enhance the understanding of unknown patterns in these datasets. These techniques have been used in drought management, vegetable quality classification, pest management and several other areas in agriculture and allied areas. One such area which requires the application of geospatial data mining analysis is watersheds. This paper attempts to analyze different data mining techniques with watersheds data to understand its spread and impact of its development. Government of India started developing agricultural watersheds over the last four decades as a priority program for increasing water availability in the rainfed agricultural lands to sustain the livelihoods of the people with a socio-economic progress. Agricultural researchers and watershed development officials are extremely interested to assess the impact and identify the patterns in the current development and looking for the areas for further development with a proper understanding of local needs and environmental requirements. Due to change in the soil types, the water harvesting in different soils behaves in different ways resulting in improper recharge in some areas and high evaporation in some other areas. Geospatial data mining techniques such as association, clustering, classification and trend analysis applied on watersheds data will give proper understanding of the spread of watersheds and helps in visualization of key factors in the process. Since the watersheds are mainly affected by its location and upstream, downstream abnormalities, it is very appropriate to use such techniques to understand the spatial distribution and actual impact. The open source geospatial and data mining software such as WEKA, PostGIS, jGRASS will be used to apply the data mining algorithms. An integrated framework will be developed and tested with the available data in the light of available literature and location specific requirements. Keywords: Watersheds, Geo-spatial, Data Mining, Impact Assessment

Seminar 13- Data Mining / Seminar (13)-01

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

107

Data Mining Software Tools to Improve Water Catchment and

Agricultural Land Management in Australia

Leisa Armstrong School of Computer and Security Science

Edith Cowan University Bradford Street, Mount Lawley-6050, Western Australia

+61 89370 6506 [email protected]

Aiden Sehovic

School of Computer and Security Science Edith Cowan University

[email protected]

Dean Diepeveen Department of Agriculture and Food.

Western Australia [email protected]

Neil Dunstan

School of Science and Technology University of New England

[email protected]

ABSTRACT

Leading edge information and communication technology (ICT) solutions can assist the management of water and land resources in Australia. The management of these resources is important in the securing of food and water for an increasing world population and the sustainability of Australia’s agricultural sector. Factors such as climate change may further hinder sustainability of these resources. A novel approach which is both multidisciplinary and using leading edge technology solutions to manage Australia’s water and land resources could help. The potential of using these techniques to provide a means for farmers and government and policy makers to make better decision in relation to these issues has been reported by various research groups in Australia and internationally. The paper examines how to utilise existing spatial data mining techniques in conjunction of modern open-source geospatial tools to interpret trends in water catchment and land management. This can be achieved through the development of innovative data mining interrogation tools that measure and validate the effectiveness of data mining methods on the available datasets. The interrogation tool will incorporate different modern geospatial data mining techniques to discover meaningful and useful patterns specific to current agricultural practices and future scenarios for climate change and land degradation through soil salination. Keywords: Geo-spatial, data mining, information and communication technologies, software


SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

108

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

Palm Oil Fruit Classification Using Component Analysis

Approach

Lily Amelia Department of Industrial Engineering, Faculty of Engineering

University of Esa Unggul Jl. Terusan Arjuna no. 9, Kebon Jeruk, Jakarta Barat 11510 Indonesia

62-21-5674223 ext. 215 [email protected]

Muhammad Ridwan Andi Purnomo

Department of Industrial Engineering, Faculty of Engineering Indonesia Islamic University

ridwan_64@yahoo,com

ABSTRACT

The degree of palm oil fruit ripeness is a major factor that affects to the amount of crude palm oil losses during processing. Based on its ripeness, palm oil fruit can be classified into five fractions, namely fraction 00, 0, 1, 2, 3, 4 and 5. Currently, palm oil fruit sorting system in most of palm oil mills in Indonesia is based on visual observation by operator. This may lead to a less accuracy in palm oil fruit ripeness determination that impacts to a low quality and quantity of crude palm oil production. This research aims to develop a model for palm oil fruit ripeness classification using Component Analysis (CA) approach. CA model was developed based on interview and observation in palm oil mill PT. Perkebunan Nusantara (PTPN) VII in South Sumatra, Indonesia. Some samples of palm oil fruit image in each fraction were taken and preprocessed by resizing and convert the images to gray scale images. CA model was developed using software MATLAB v.7 through some stages as follow: to set up database images and evaluated images, determine covariance matrix of database images, determine eigen value and eigen vector of database images, and compare the evaluated images and database images based on the minimum Euclidean Distance value. The results indicate that CA approach can identify unaccepted fruits which are fraction 00, 0 and 5 and accepted fruits which are fraction 1, 2, 3 and 4 very accurately. Keywords: Crude palm oil, fruit classification, pattern recognition, component analysis


SEP. 05

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Y, 20

12

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109

Quality Evaluation and Cultivar Identification of Strawberry

Using Image Analysis

Kyosuke Yamamoto Graduate School of Agricultural and Life Sciences

The University of Tokyo 1-1-1 Yayoi, Bunkyo, Tokyo, 113-8657 Japan

042-463-1611 [email protected]

Seishi Ninomiya

Institute for Sustainable Agro-ecosystem Services The University of Tokyo

[email protected]

Yosuke Yoshioka National Institute of Vegetable and Tea Science


Takashi Togami, Atsushi Hashimoto, Takaharu Kameoka*

Graduate School of Bioresources Mie University

[email protected]

ABSTRACT

The appearances of agricultural products provide indications of the quality and variety characteristics. However, since agricultural products have glosses, color shadings and asperities on their surface, these characteristics make it difficult to obtain accurate external information and analysis. The aim of this study is to develop a new system for the appearance evaluation of agricultural products. In addition, we attempted to evaluate external quality quantitatively and to identify varieties based on their external information. As a color analysis method, we applied Color Histogram and Color Distribution Entropy (CDE). Strawberry shapes were analyzed in polar coordinates and tangent lines. To calculate a distance between different shapes, earth mover's distance (EMD) was applied. As a size index, the projected area of the object was used. Strawberry images were obtained by using a chromatic image acquisition system that we constructed. The appearance of the strawberries was analyzed by using the methods quantitatively, and then we performed statistical analyses of the data. According to the results of the liner discriminant analysis, the accuracy of cultivar identification was nearly 70 percent. In addition, the results of the MDS and HCA demonstrated that introduced methods could be effective for the evaluation of strawberry appearance. Keywords: Strawberry, Image analysis, Cultivar identification, Quality evaluation


SEP. 05

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12

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110

SEP. 05

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12

Design and Application of Farming Visualization System FVS

for Human Resources Development in Agriculture

Teruaki Nanseki Faculty of Agriculture

Kyushu University Hakozaki 6-10-1, Fukuoka 812-8581, Japan


Yoshitaka Fujii

Shiga Prefectural Agricultural Technology Promotion Center [email protected]

Katsuyoshi Watanabe

FUJITSU KYUSHU SYSTEMS LIMITED (FJQS) [email protected]

Shigeyoshi Takeuchi

Faculty of Agriculture Kyushu University

[email protected]

ABSTRACT

In modern farming, it is indispensable to monitor the field environment, crop conditions, and farming operations. To support these activities at farm level, we have developed several types of farm operation monitoring systems based on various needs of farms. FVS (Farming Visualization System) is one of such systems and designed in order to record and replay all the information of farming operations based on combinations of data from several kinds of sensors including GPS, RFID readers and CCD cameras. These systems can be applied for various application fields of agriculture. One of the major fields is to record precious and detailed farm operations history for good agricultural practice and food traceability. Another major field is the training and education of both farming operators and farm managers. These applications fields of FVS are especially important in agricultural company as well as advanced family farm. In this paper, first, the NoshoNavi project, in which FVS has been developed, is outlined after explanation of background of the research. The objective of this national project is to visualize three types of the farming information mentioned above and extract know-how of farming skill using the integrated data. The project is expected to give useful tools for human resource development in agriculture. Second, design, structure and function of the latest version of the systems are descried. Finally, the results of a trial run of the systems in real farms including 150ha rice farming company are given and implications of the application are discussed with future research topics in this research field. The smart phone system is simple to use with a low initial cost. On the other hand, the PC system can monitor many kinds of information with high accuracy. Both types of the systems have advantages and disadvantages. Suitable tasks for each type of system are clarified. A data exchange framework, called FarmXML, among related systems is also proposed. Keywords: field monitoring, farming skill, GPS, RFID, FarmXLM

Seminar 14- e-Agricultural Services (2) / Seminar (14)-01

SEP. 05

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Y, 20

12

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111

Print on Demand (POD) System for Customer Service of

Agricultural Books

Jeong Hye, Park Agricultural Science Library, Knowledge & Information Officer Division

Rural Development Administration (RDA) Suin-ro 126, Kwonsun-gu, Suwon, Kyunggi-do, 441-707, Republic of Korea


Kil Seob, Lee

Agricultural Science Library, Knowledge & Information Officer Division Rural Development Administration (RDA)

[email protected]

Jeung Sang, Ryu Agricultural Science Library, Knowledge & Information Officer Division

Rural Development Administration (RDA) [email protected]

Yoo Jeong, Lee

Agricultural Science Library, Knowledge & Information Officer Division Rural Development Administration (RDA)

[email protected]

Man Hee, Han Agricultural Science Library, Knowledge & Information Officer Division

Rural Development Administration (RDA) [email protected]

ABSTRACT

Rural Development Administration(RDA), national institute for agricultural research and extension in Republic of Korea, publish over 400 research outputs every year. But it is difficult to estimate customer’s demands on those agricultural research outputs exactly because the contents are very diverse and specific such as agriculture, crops, horticulture, livestock, biotechnology, environment and microbiology. From publisher’s point of view, it is difficult to balance the stocks neither more or less. From customer’s point of view, sometimes it is inconvenient to get the books that they wanted because of ‘out of stock’ or ‘out of print’. To solve those problems of demand and supply, RDA has developed the Print-on-Demand(POD) system, called ‘NongSeoNamBook’. Through this POD system, everyone can read the RDA’s research outputs by e-book freely via on the web and if a customer needs some books, he can order the books to be printed and delivered to him. There is three tiers of RDA’s print on demand system. RDA is responsible for the contents supply and operation of POD system. After receiving an order from customer, the seller makes and delivers books to customers. The customer can search or browse the RDA’s research outputs conveniently and buy the book that he wants easily and cheaply. Keywords: POD, print on demand, publish on demand, agricultural books


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12

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112

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Plant Quarantine Pest Query System

Shu-Pei Chen Division of Applied Zoology

Agricultural Research Institute, COA Wufeng District, Taichung City 413, Taiwan ROC

+886-4-23317624

Wen-Jen Wu Research Center for Plant Medicine

National Taiwan University

ABSTRACT

As trade liberalization and internationalization progress, the risk of Taiwan being invaded by major foreign quarantine pests hiding in imported agricultural products has increased. The pests, such as thrips, scale insects, aphids, whiteflies, and mites often immigrate through the media of seedlings, scions, seeds, fruits, tubers and bulbs. Based on the pests detected in the plants or plant products imported in recent years, we built a system that uses microscopic imaging devices to digitize voucher specimens. By further incorporating the classification, collection and host data, we successfully established the quarantine pest query system with query and maintenance functions. Such a system realized the integrated management of common quarantine pest information, and it can provide fast query and consolidated statistical analysis services with regard to agricultural product groups, scientific names, middle names, distribution, morphology, biology, hosts, importing countries, and geographical distribution. In addition to the quarantine identification, the information system is available for inquiries about the academic research and administration of agricultural authorities.

Keyword: Quarantine pest, agricultural product, query system.


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12

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113

Taiwan Agricultural Research Institute Insect Specimens Digital

Archives

Shu-Pei Chen Division of Applied Zoology

Agricultural Research Institute, COA Wufeng District, Taichung City 413, Taiwan ROC


ABSTRACT

The Taiwan Agriculture Research Institute Insect Museum is dedicated to the collection of agricultural insect specimens. Since the Japanese colonial period, the museum has collected more than 1.8 million insect specimens, which is the richest collection in Taiwan. Whether a specimen is finely crafted or not, is at risk of being damaged after a long period of time. Particularly, the risk is even higher since Taiwan is in a seismic zone. Moreover, our enormous collection requires an efficient management model to develope. As mentioned above, the TARI built the Taiwan Agricultural Research Institute Insect Specimen Digital Archive website (http://DigiIns.tari.gov.tw) during the implementation of the National Digital Archive Program. By setting up this website, we can improve the image and data digitization of the insect specimens and tools collected from the TARI as well as the literatures from the Japanese colonial period. The website consists of six parts – “Digital Archive Website”, “Digital Collection”, “Query”, “Compilation and Analysis”, “Insect Collection”, and “Learning Resources” - in order to display the information required by users. In addition to the sustainable preservation of the research highlights collected by the TARI over years, we hope that the online international research exchange can be beneficial to the improvement of our international prestige. Keyword: Insect specimens, Taiwan Agriculture Research Institute Insect museum, specimen digitization.


SEP. 05

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114

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12

Applying ArcGIS Online

for Establishing Hanoi Agriculture Map

Thanh Xuan Nguyen Geography Department

Hanoi National University of Education No 136, Xuan Thuy street, Cau Giay district, Hanoi province, Vietnam

Tel: +84988615133 [email protected]

Tien Yin Chou

GIS Research Center Feng Chia University

[email protected]

Thanh Van Hoang PhD in Civil and Hydraulic Engineering

Feng Chia University [email protected]

ABSTRACT

Geographic Information system (GIS) develops more and more strongly, GIS is being applied in many areas of life, including agriculture. The appearance and development of cloud computing technology has opened the new direction development of GIS technology. This paper refers to the exploitation applying ArcGIS Online - an application on the cloud platform of ESRI to establish the agriculture Hanoi map. This map is a whole picture on the Hanoi agriculture- one of the two special urban, the capital in Vietnam, consist of the structure agriculture land-use, the structure and distribution of the main agriculture production, the territorial organization of agricultural production (the urban farm belt). This map is displayed on web and allows sharing data online through internet. Keywords: cloud GIS, urban agriculture, Hanoi agriculture, Hanoi agriculture map.

Seminar 15- GIS Applications (2) / Seminar (15)-01

SEP. 05

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Y, 20

12

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115

Simulation Impact of Climate Change on Agriculture Land-Use

Sustainability Using SALUS-WebGIS: Case Study in Northern Vietnam

Thanh Van Hoang Civil and Hydraulic Engineering Program

Feng Chia University No 100, Wenhwa Rd, Situn, Taichung, Taiwan 40724, R.O.C

Tell: +886-4-24516669 [email protected]

Tien Yin Chou

GIS Research Center Feng Chia University

[email protected]

Chih Yuan Chien GIS Research Center Feng Chia University

[email protected]

Viet Khanh Tran Thai Nguyen University

[email protected]

ABSTRACT

Climates are changing, it's happening all over the world, and we all are responsible for a small part of this life changing event that is taking place on our planet. Vietnam is one of the countries predicted to be among the most affected by climate change due to its long coastlines area, the high concentration of population. The impact of climate change varies widely by region depending on the type of agriculture. Change in climate can have serious impacts on economic development, especially in the agricultural sector due to its direct exposure to and dependence on weather and other natural conditions. First, this study aim to simulate the impact of climate change on agriculture land-use, and illustrate the impact of climate change on agriculture and human well-being including: 1) the biological effect on crop yield; 2) the resulting impacts outcomes including prices, production, and consumption; and 3) the impact on per capita calorie consumption and child malnutrition. Second, brief overview Salus (System Approach to Land Use Sustainability) program which is designed to model continuous crop, soil, water and nutrient conditions under different management strategies for multiple years. Third, to integrate Salus model with Web-GIS that follows a tight coupling strategy embedding SALUS model (Karimi, H. A. etc., 1996) with EasyMap Object, developed by GIS research center. Finally, we identify the location in northern Vietnam for experiment. The experiment can support some of the map which illustrate the impact of climate change on rice production ; prediction climate changes on Vietnam farmland in the future. Keyword: Climate change, Agriculture Land-Use, Salus model, WebGIS, Northern Vietnam.


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Y, 20

12

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116

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Geographic Information Data Establishment and Applications for

Irrigation Associations in Taiwan

Huang-Hsiang Chan Information division

Agricultural engineering research center 196-1,Chung Yuan Rd.Chungli,Taiwan

(886)-3-4521314 ext.228 [email protected]

Yi-Chien Tsai

Information division Agricultural engineering research center

[email protected]

Chih-Hung Tan Resources division

Agricultural engineering research center [email protected]

Yi-Fong Ho

Department of irrigation and engineering Council of Agricultural, Executive Yuan

[email protected]

ABSTRACT

The research was to assist the staff of Irrigation Associations to establish various geographic information data layers and their associated database by means of training and education courses. In addition, the GIS database format and standard operation process was also established in this project to standardize the creation of the geographic information system in Irrigation Associations. It included the theoretical analysis, the education and training, technical counseling, the system application and so on, in order to enhance the efficiency of irrigation management and to promote the overall computerization in the Irrigation Associations. Applications of GIS to typhoon recovery were also demonstrated in the study. Keywords: Irrigation Management, Geographic Information System, Infrastructure Establishment


SEP. 05

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Y, 20

12

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117

Land Cover Database of Farmlands of Taiwan

Lun-Ping Su Agricultural Chemistry Division


Horng-Yuh Guo

Agricultural Chemistry Division Taiwan Agricultural Research Institute


ABSTRACT

The Land Cover Database of Farmlands of Taiwan was constructed based on remote sensing technology and some part of ground truth. The project started mapping crops distribution 3 times per year from Tainan County since 2008. It is expected that the whole island-wide farming area database could be completed and updated 3 times a year by 2015. By the end of 2010, more than 50 species of crops including major staple food, upland crops, vegetables, fruits and bamboo distribution layers were mapped. This information could be inquired the distribution of crops for agricultural management and applied to other related natural resources management decision making through the internet.

Keywords: Geographic Information System, farmlands land cover map, field survey, satellite images analysis and interpretation, aerial photo interpretation


SEP. 05

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Y, 20

12

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118

SEP. 05

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12

Application of PCRaster for Spatial Productivity Analysis of

Tropical Apple (Malus sylvestris Mill) cv. Manalagi in Relation to Temperature

Syukur Makmur Sitompul Lab. Plant Physiology, Faculty of Agriculture

The University of Brawijaya Jl. Veteran, Malang 65145, East Java, Indonesia

(0341) 564 443 [email protected]

Sitawati Widodo

Lab. Plant Physiology, Faculty of Agriculture The University of Brawijaya

[email protected]

Yogi Sugito Lab. Environmental Resource, Faculty of Agriculture

The University of Brawijaya [email protected]

ABSTRACT

Temperature is the major factor limiting the cultivation of Apple (Malus sylvestris Mill), a subtropical species characterized by a chilling requirement, in the tropics such as in Malang, East Java, Indonesia. This fruit crop, successfully cultivated at high altitudes in the region of Malang, showed a decline in productivity and fruit quality in the last decade. Due to economic reason, many apple orchards were replaced by other crops particularly at lower altitudes. A series of studies was conducted in the production centre of Apple in the region of Malang to investigate the relationship between the productivity of apple trees (cv. Manalagi) and environmental factors in 2008-2009. The present paper was focused on the analysis of temperature as a limiting factor of the productivity of apple trees. The data of apple productivity and fruit quality were recorded at the first harvest of 36 apple orchards of 9-35 years old selected randomly that covered the whole range of orchard altitude (861 m - 1434 m) in the study area. Temperature and relative humidity during the day (0.06, 12.00 & 18.00n h) were observed at the same orchard locations. A close relationship was found between altitude and temperature with a rate of -0.6790C. 100 m-1) close to a wet lapse rate. A high variation was found in the relationship between temperature and productivity which showed, on average, a tendency to decline with an increase in temperature. The spatial distribution map of productivity or fruit quality was generated with PCRaster software based on a variogram model. The productivity map was used to regenerate the average of altitude under specified ranges of productivity. The relationship between the temperature and the apple productivity or the fruit quality was then established over the whole area of apple production center. Keywords: Tropical Apple (Malus sylvestris Mill), Temperature, Spatial Analysis, PCRaster

Seminar 16- Computer Based Data Analysis / Seminar (16)-01

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Y, 20

12

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119

The Readout System and Chip Implementation

for Chlorophyll Contents Meter

Che-Min Lee Electronics Department

Chung Yuan Christian University 200,ChungPei Rd., Chung Li , Taiwan 32023 , R.O.C


Wen-Yaw Chung

Electronics Department Chung Yuan Christian University

[email protected]

ABSTRACT

Studies show correlation between chlorophyll content and nitrogen concentration in plants. Among the essential macronutrient, nitrogen is considered to be the most important component for vegetative growth, and crop production. The study aims to develop a device that measures the chlorophyll content in a leaf using the optical sensing method. Chlorophyll has different absorption characteristics for light wavelength, using the idea of Beer Lambert Law which relates the absorption of light to the properties of the material through which the light is travelling, chlorophyll content can be determine. Utilizing the strong absorption characteristic of 660nm light wavelength to determine the chlorophyll content and then compare it with the absorption characteristic under 940nm wavelength to determine the measurement error, this can be done by determining the change in current of the photodiode. The difference of these two values can improve the accuracy. Light emitting diode, photodiode, transimpedance amplifier, and microcontroller unit can be used to complete the read-out circuit for chlorophyll content which is better and 80% cheaper than the ones in the market. By using TSMC 0.35µm technology can effectively reduce the area and power consumption of the system. Using the proposed system to measure the chlorophyll content of Osmanthus leaves and compare with the ethanol measurement method, the accuracy can reach 0.73 and the current sense range can reach 50µA. Keywords: Chlorophyll, nitrogen, optical sensing, Beer Lambert Law


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Y, 20

12

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120

SEP. 05

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Developing Marginal Abatement Cost Curve for Greenhouse Gas

Emission from Summer Maize in the North China Plain

Nan Ha Institute for Farm Management (410b)

University of Hohenheim 70593 Stuttgart, Germany Tel: +49-(0)711-459-22934 [email protected]

Enno Bahrs

Institute for Farm Management (410b) University of Hohenheim

[email protected]

Haifeng Xiao College of Economics and Management

China Agricultural University [email protected]

ABSTRACT

Summer maize (Zea mays L.) as part of the winter wheat-summer maize double-cropping system contributes an important share of greenhouse gas (GHG) emissions from agriculture in the North China Plain. Various mitigation policies and technically feasible programs have been adopted by the national government to reduce agricultural emission from summer maize. The objectives of this article are to calculate GHG emissions from summer maize and to identify the most economically efficient mitigation measure by developing a marginal abatement cost curve. The marginal abatement costs were calculated by life cycle assessment and life cycle cost methodology. The analysis was based on primary data collected in 2011 from seventy farm households producing summer maize in southern Hebei Province. Results suggest that mineral fertilizer application and tillage activities are responsible for dominant greenhouse gas emission from summer maize. Mitigation measures such as improved management of mineral fertilizer and substitution of fossil fuel proved to be the most promising and cost-efficient options to reduce greenhouse gas emissions from summer maize in the North China Plain. Keywords: summer maize, greenhouse gas emission, marginal abatement cost curve, mitigation measures


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12

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121

Change Point Analysis for Environmental Information in Agriculture

Takashi Okayasu Division of Agro-environmental Sciences

Kyushu University 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, JAPAN


Muneshi Mitsuoka

Division of Agro-environmental Sciences Kyushu University

[email protected]

Andri P. Nugroho Graduate School of Bioresource and Bioenvironmental Science


Hiromichi Yoshida

Graduate School of Bioresource and Bioenvironmental Science Kyushu University

[email protected]

Teruaki Nanseki Division of Agricultural and Resource Economics


Eiji Inoue


[email protected]

ABSTRACT

Informatization agricultural supporting system called “Agri-eye” was developed by incorporating a simple field monitoring and actuation nodes, database system, and data management and application server. The field monitoring node was introduced to measure and accumulate environmental information in detail during cultivation. Web based-applications for visualizing and analyzing the data stored in the database have been also developed. On the other hand, the stored data in the system are expanding gradually due to the continuations of the field monitoring. To find out feature value hidden in the vast data stored in the database became difficult more and more in general. Ide and Inoue[1] have proposed the singular spectrum transformation (SST), which uses the eigenvalues and eigenvectors for a characteristic matrix formed from a set of time series data and then verified that the SST is capable of detecting the change points from arbitrary time series data automatically and systematically. In this study, a change point analysis using SST mentioned above was adopted for detecting change points from the environmental time series data. The validity of the method was verified by using the environmental data stored in the Agri-eye database measured in the real greenhouse cultivation. Keywords: long term monitoring, cloud computing architecture, singular spectrum transformation (SST), change point analysis


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12

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122

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The Role of Weather Information on Yield Performance of Carrot Production-Empirical Evidence from Field Data in Yunlin County

Shu-Hua Lin Department of Science and Technology

APEC Research Center for Typhoon and Society 9F, No 97, Sec 1, Roosevelt Road, Taipei, Taiwan, Rep of China


Ching-Cheng Chang

Department of Socio-Economics, APEC Research Center for Typhoon and Society Institute of Economics, Academia Sinica

[email protected]

Shih-Hsun Hsu Department of Agricultural Economics


Emma Huang

Department of Socio-Economics APEC Research Center for Typhoon and Society

[email protected]

ABSTRACT

Weather information is critical to all stages of planning, planting, pest control and harvest of vegetable production. The increasing occurrence of severe climate events in response to global warming has posed a particular risk for vegetable production under contract in recent decade. A key issue of concern is whether increasing stress from climate extremes will influence yield variability and quality, in addition to the overall yield levels. This study attempts to link the local weather data and crop yield performance and identify the linkage between key climate factors on yield. Field survey data of 275 contract farms from a carrot producer cooperative in Yunlin County in Taiwan and weather station data from the Environmental Protection Administration located in adjacent areas were used to identify the key weather factors and the tolerance levels of heat, precipitations and wind blows. The results suggest that accurate weather forecasts can be instrumental in maintaining productivity and fulfill contract at the peak of quality. They can also be used to reduce potential losses from natural hazards and stabilize farm income which is beneficial to all stakeholders in the supply chains. Keywords: plant growth model, weather information, contract farming, vegetables, climate change


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123

The Challenge of ICT Utilization for Teaching and Learning at

Bogor Agricultural University (BAU), Bogor, Indonesia: Past, Present, and Future

Widharto Retired Librarian of Bogor Agricultural University

Darmaga Campus Kompleks Puri Kemang Asri Blok E 3 No. 1 & 7, Bogor, Indonesia


ABSTRACT

In Indonesia ICT in agriculture is an emerging field focusing on the enhancement of agricultural and rural development. The advancements in ICT can be utilized for providing accurate, timely, relevant information and services for students and other university communities in Indonesia, especially Bogor Agricultural University (BAU) which later will be passed on to the farmers for more remunerative agriculture. Bogor Agricultural University as one of the state universities in Indonesia, plays important role in the production of qualified human resources in agricultural fields, and was mandated to be the pioneer in the agricultural development in the broader sense and providing extension services as well. The University is carrying out teaching, research and development with an aim to build ICT-based systems and methodologies to accelerate Indonesian agriculture and rural development. The faculty is involved in imparting knowledge regarding sustainable agricultural production systems and environmental issues so that students can carry out research in the area of societal development by extending development in ICTs, which indirectly will change the life of farmers. The common problems in adoption of ICT in rural segments are ICT illiteracy, availability of relevant and localized contents in their own languages, easy and affordable accessibility and other issues such as awareness and willingness for adoption of new technologies among the rural peoples etc. Various technological challenges that provides a perspective on possible solutions for delivering the agricultural subject, especially on the use of ICT in enhancing agricultural development is emphasized. Keywords: Information and communication technologies (ICTs), Agricultural development, Bogor Agricultural University, Food sufficiency, Indonesia

Seminar 17- ICT Adoption & Education / Seminar (17)-01

SEP. 05

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Y, 20

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124

SEP. 05

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ICTs for Agricultural Extension in India: Policy Implications for

Developing Countries

R. Saravanan School of Social Sciences

College of Post Graduate Studies Central Agricultural University (CAU)

Umiam (Barapani) – 793 103, Meghalaya, India Phone: +919436054939; Fax: +913682570030

[email protected], [email protected]

ABSTRACT

ICTs are changing all the spheres of human lives. Hence, it is a popular belief that, agricultural extension also no exception to this. It is also expected that the ICT led extension systems are going to act as a key agent for changing agrarian situation and farmers’ lives by improving access to information and sharing knowledge. Hence, renewed enthusiasm to use new ICTs for agricultural advisory services led to mushrooming of e-initiative pilots in India. Development practitioners are experimenting innovative ICT initiatives exclusively for agricultural information and knowledge delivery. Unlike other sectors, agriculture is a complex, more so agricultural extension, hence, there are some projects shown the way forward and continue to grow and most other projects are floundering after few years of operation. Large number of projects stuck as pilots only and very few continuously innovated, replicated and sustained over the years. However, the variety of ICT initiatives are also added lot of lessons to take future course of action. With the available practical lessons, it is time to move forward in integrating ICTs and Information and Communication Management (ICM) in agricultural extension. Further, ICT capacity building in agricultural research and extension systems, location-specific content generation and digitization, integration of research-extension and IT technology solution providers, integration of pluralistic extension actors, blending ICTs with traditional extension methods, continuous innovation and refinement need be followed with commitment and accountability are crucial for sustaining momentum in the agricultural advisory services by the ICTs. This article is concise review ICT projects implemented since 1990’s in India, elaborates best practices and its ingredients for success and also draws policy implications for the effective ICT based agricultural advisory services in developing countries. Keywords: e-Agriculture, ICTs, Lessons, Best Practices


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Questionnaire Analysis to Improve OJT in Agricultural High Schools in Japan

Makoto Okada Graduate School of Science Osaka Prefecture University

1-1 Gakuen-cho, Naka-ku, Sakai, Osaka 599-8531, Japan +81-72-252-1161

[email protected]

Teruo Akai Tokushima Chamber of Agriculture

[email protected]

Tomoyoshi Maruyama Tokushima Chamber of Agriculture

[email protected]

ABSTRACT

In Japan, where fewer youths will pursue agriculture, it is essential to attract them with appropriate understanding of contemporary conditions and situations of Japanese agriculture. For this purpose, agricultural high schools in Japan offer opportunities of on-the-job trainings to students, but they are often frustrated by different aspects of those trainings and some of them even stop their training while students satisfied may very well go on to agricultural employments. In this study, we report our attempt to improve OJT programs based on an intense questionnaire analysis. Tokushima Prefecture, in cooperation with farmers prefectural agricultural high schools, conducted an OJT program in 2008 and 2009. Each participating student reported to their supervisor about what they did and what they felt in each OJT instance, and some of them in 2008 had severe dissatisfactions. We made an intense analysis of their questionnaire replies to extract co-relations between the strength of their interests and their possible satisfactions and dissatisfactions, and shared those co-relational guidelines with program organizers and supervisors. In 2009, they conducted another OJT program with different students, where they evaluated students reports with those guidelines and gave them additional instructions and advice. As a result, all the participants maintained their positive attitude to the program and 20% of them reinforced their interest in agriculture. It means that a successful OJT program needs early detection of possible dissatisfactions and that possible dissatisfactions can and should be extracted through their questionnaire surveys. Keywords: Agricultural high school, On-The-Job training, sentiment analysis


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Internet as a Tool for Higher Education and Research in

Agricultural Sciences

M. A. Zaman Department of Farm Power and Machinery

Bangladesh Agricultural University Mymensingh 2202, Bangladesh

Cell Ph. +88 01711071190 [email protected]

S. M. Iqbal Hossain

Faculty of Agriculture Bangabandhu Sheikh Mujibur Rahman Agricultural University

[email protected]

ABSTRACT

A study was conducted to explore the role of internet on higher education and research at two selected public universities in Bangladesh, which offer courses on Agricultural Sciences. One hundred and fifty eight teachers and 79 post-graduate students were interviewed based on questionnaires. It was found that 90.8% teachers had internet connectivity and they used internet on regular basis to search relevant websites and download the selected course contents. All the teachers agreed that adequate and reliable information on different topics of Agricultural Sciences can be obtained through internet, which can be used for academic and research purposes. Use of internet by the students is being gradually increased in public universities. The universities are expanding the internet facilities to increase services to the teaching and learning communities. Digitization of libraries and internet links between the public university libraries are in progress. It is expected that the use of internet would bring significant changes in higher education and research systems of developing nations and the institutions of higher education would attain a global standard. Development of education in these countries are badly influenced by limited resource and poor finance. Keywords: Internet, higher education, agricultural sciences


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127

College Students’ Agricultural Beliefs and The Comparison

Between Departments and Grades

Yi-Chen Kao Graduate Institute of Environmental Education

National Taiwan Normal University GIEE, No.88, Sec. 4, Tingzhou Rd., Wenshan Dist., Taipei City 11677, Taiwan (R.O.C.)


Shun-Mei Wang

Graduate Institute of Environmental Education National Taiwan Normal University

[email protected]

ABSTRACT

After the Green Revolution, there are generally two different worldviews regarding agriculture─the “conventional agricultural paradigm,” which supports industrial and highly-efficient agricultural practices, and the “alternative agricultural paradigm,” which emphasizes sustainability in the farming system. The purpose of this study is to investigate agricultural college students’ views on the two paradigms, and how higher education experience shapes their views. Questionnaires were designed on the base of Beus and Dunlap’s (1991) “Alternative-Conventional Agricultural Paradigm Scale”, and were delivered to freshmen and seniors in College of Bioresources and Agricuture at NTU in fall 2011. 616 questionnaires were responded, with a reply rate at 65.3%. The result showed the students in this study have the tendency toward alternative agricultural paradigm in overall scale, as well as in both ecological and social subscale, especially on the topic of protecting land vs. getting profit. They also recognized rural farm tradition and culture were essential elements in agriculture. Considering higher education experience as a potential factor to shape students’ worldviews, the study found out that the students in departments of bio-industry communication and development, agronomy, entomology, and plant pathology and microbiology have higher affinities to alternative agricultural paradigm. In addition, compared with seniors, freshmen shows higher affinity to alternative agricultural paradigm, which shows that the higher education in agriculture tend to lead students to conventional agricultural paradigm, especially in terms of “competition vs. community” and “specialization vs. diversity” dimensions. Moreover, these two variables had an interaction, but it did not bother their significant outcomes. Keywords: agricultural paradigm, ACAP scale, agricultural higher education


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128

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Using QR Codes for Context Specific Support Around the Farm

Jens Peter Hansen Business Development

Knowledge Centre for Agriculture Agro Food Park 15, 8200 Aarhus, Denmark


ABSTRACT

In Denmark, running a modern farm demands that you are able to handle a wide variety of technical equipment; manage a number of farm labours and contract works and ensure that all activities are performed according to legal rules and legislation. It is a demanding job – especially as farm labour often includes persons from Eastern Europe with less experience with Danish farming standards. To replace the use of printed Standard Operational Procedures (SOPs) and/or precise and time consuming instructions from the farmer/manager, a project is investigating the utilisation of QR codes and smartphones as means to access context specific instructions around the farm. A package called QIC (Quick Information in Context) has being developed. QIC includes a simple web based system to generate QR codes, a QR label printer and a pocket video cam and instructions how to use the different elements including a common YouTube account for uploading video. QIC has been implemented on three farms; there the farmers themselves have created instructional materials (text pages and videos). Our experiences working with QIC are mixed: Showing a farmer how to use QR codes convinces him instantly about its usefulness in practice. Writing about the potential of using QR codes gives a low response. Keywords: QR codes, smartphones.


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Development and Application of Mobile Traceability Data

Construction for Agriculture

Yu-Chuan Liu Department of Information Management

Tainan University of Technology o. 529, Jhongjheng Rd., Yongkang District, Tainan 71002, Taiwan, ROC.


Hongmei Gao

Department of Economic Management Tianjin Agricultural University.

[email protected]

Xiaolin Zhang Department of Economic Management

Tianjin Agricultural University. [email protected]

ABSTRACT

Transparency in the way food was grown and handled throughout the supply chain resulted in the emergence of traceability, which is aimed to provide information visibility through the farming, production, packing, distribution, transportation, and sales processes. Farmers, postharvest handling operators, marketers, research practitioners and policy makers need good understanding of the concepts and implications of supply chain traceability to meet consumer demands for traceable agricultural supply chains. Objective of this research is to develop a mobile data collection system to enhance the efficiency of traceability data construction. System architecture and operation scenarios for the mobile traceability system are analysed. An end-to-end prototype application system that traces the farming activities by using mobile handheld devices (smart phone, PDA, or tablet PC) to capture the information of farming operations is developed in this paper. The mobile system consists of a front-end application service with mobile devices and back-end web server. The farming information for every operation is coded in two-dimensional labels, the quick response (QR) code. By scanning the proper operation labels, the corresponding traceability data can be uploaded simultaneously to the back-end web server. The prototype system is implemented in the traceability of mango exporting in Tainan. The miscellaneous traceability data construction by manual is shown can be simply replaced by scanning two-dimensional labels. Traceability data uploaded in real time by farmers can provide data correctness and improve consumers’ confidence. Applications of this mobile traceability data collection system show that the complexity of traceability data construction can be significantly reduced. Keywords: Traceability, QR Code, Mobile Data Collection.


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A Remote Monitoring System for

Plant Frost Detection in High Altitude Areas

Yu-Sheng Tseng Department of Bio-Industrial Mechatronics Engineering

National Taiwan University No. 1, Sec.4, Roosevelt Road, Taipei 106, Taiwan


Min-Sheng Liao


[email protected]

Yan-Fu Kuo Department of Bio-Industrial Mechatronics Engineering


Ming-Tzu Chiu

Wenshan Branch, Taiwan Tea Experiment Station Council of Agriculture, Executive Yuan, Taiwan

[email protected]

Tzu-Shiang Lin Department of Bio-Industrial Mechatronics Engineering


Chung-Wei Yen


[email protected]

Joe-Air Jiang* Department of Bio-Industrial Mechatronics Engineering


ABSTRACT

Tea is one of the important agricultural crops in Taiwan. Taiwan’s tea products are famous worldwide, and different kinds of tea products have been produced, such as oolong tea, Dongding Oolong tea, and High Mountain tea, just to name a few. Among these tea products, High Mountain tea is the one of the most expansive ones. Because of the cool weather at the high altitude, the mild sunshine caused by frequent fogging in the morning and evening, and the short average isolation duration, the quality of the tea is largely improved. However, the tea leaves are easily damaged by the frost in the


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wintertime, especially in the dawn, strongly affecting the quantity and quality of the tea. In order to solve this problem, in this study, a remote monitoring system designed to reduce plant frost damage is developed. The proposed system can measure the temperature of the surface of the tea leaves and other weather parameters, such as relative humidity, wind speed, wind direction, and illumination. The measured parameters are transmitted though the Global System for Mobile Communication (GSM) module and stored in a back-end server. This monitoring method can overcome the disadvantages brought by manual measurement used in the past. The proposed system can also automatically detect the frost damage. When a frost occurs and is detected by the system, the system will send a warning message to the correspondent though GSM module. The correspondent can take action to prevent the frost damage. The proposed system has been deployed in the Wuling Farm (Altitude: 1759 m, N 24°21'34.05", E 121°18'46.74") and began to collect the environmental parameters since Dec. 22, 2011. The parameters are measured at intervals of ten minutes. Up until the mid-March, 2012, a total of 11636 data sets have been collected, including a number of datasets that show possible scenarios of frost damage. Keywords: high altitude, remote monitoring, frost damage, agriculture automation


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A Routing Algorithm Designed for Wireless Sensor Networks:

Balanced Load-Latency Convergecast Tree with Dynamic Modification

Sheng-Cong Hu Department of Bio-Industrial Mechatronics Engineering


Jen-Hou Liu


[email protected]

Min-Sheng Liao Department of Bio-Industrial Mechatronics Engineering


Cheng-Long Chuang

Intel-NTU Connected Context Computing Center National Taiwan University [email protected]

Kun-Yaw Ho

Chia-Yi Agriculture Experiment Station Council of Agriculture, Executive Yuan, Taiwan

[email protected]

Ju-Min Yang Chia-Yi Agriculture Experiment Station

Council of Agriculture, Executive Yuan, Taiwan [email protected]

Joe-Air Jiang


No. 1, Sec.4, Roosevelt Road, Taipei 106, Taiwan +886-2-33665364

[email protected]

ABSTRACT

In recent years, a variety of power-efficient sensor nodes with a very small size have been well developed due to the advance of Microelectromechanical Systems (MEMS). WSNs are applied to many areas, such as industrial process control, medical monitoring, and environmental monitoring. A typical wireless sensor network consists of a gateway, a database, and a large number of wireless sensor nodes. In this study, the gateway is used to transmit the data collected by sensor nodes to the database. Then a user can analyze the


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data drawn from the database. In order to balance the energy consumption for each node, we propose a balanced low-latency convergecast tree routing algorithm with a dynamic modification. This algorithm is a centralized routing algorithm and suitable for various applications. The topology for a sensor node is determined by the gateway, and the node transmits the data according to the topology. In this algorithm, we also take battery voltage and received signal strength indication (RSSI) into consideration when choosing parent nodes to construct the topology. In additon, the algorithm is applied to real world scenarios to verify its performance on the balance of energy consumption among sensor nodes. Keywords: Wireless sensor network, dynamic modification, received signal strength indication , energy consumption


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An Auto-trapping Device with the Light Luring Mechanism for

SPODOPTERA LITURA Monitoring

Wen-Shian Tsai Department of Bio-Industrial Mechatronics Engineering


Yu-Sheng Tseng

Department of Bio-Industrial Mechatronics Engineering National Taiwan University [email protected]

Min-Sheng Liao


[email protected]

Jyh-Cherng Shieh Department of Bio-Industrial Mechatronics Engineering


Chia-Pang Chen


[email protected]

Yan-Fu Kuo Department of Bio-Industrial Mechatronics Engineering


Joe-Air Jiang


No. 1, Sec. 4, Roosevelt Road, Taipei 106, Taiwan +886-2-33665341

[email protected]

ABSTRACT

Tobacco cutworm, Spodoptera litura (Fabricius), is one of the major pests that attack fruit and vegetables in Taiwan. Its larva likes to eat the stems and leaves of plants, leading to agricultural and business damage. Therefore, farmers usually spray pesticides to kill the pest. However, over using pesticides may leave toxic residues on crops, further imperilling human health. In this study, in order to improve the capture rate of tobacco cutworm traps, we have developed a monitoring system which includes several auto-trapping devices to catch the tobacco cutworm using the wireless sensor network (WSN) technology. In


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addition to using chemical attractants, the auto-trapping device is equipped with LED lights that have different wavelengths to attract the tobacco cutworm, after taken the positive phototaxis of the tobacco cutworm into consideration. The proposed system is deployed in a wild area. The energy supply relies on a car battery recharged by a solar cell, so energy efficiency is an important issue for the system. Because the tobacco cutworm is only active during the night, there is no need to keep the LED lights on during the daytime. In this study we use a photo-resistor as a sunlight detector. If it detects the sunlight, the LED lights will be turn off to save energy. Otherwise, the LED lights stay on when the photo-resistor cannot detect sufficient sunshine from an outdoor environment. The preliminary research results show that the LED lights help to improve the capture rate of the tobacco cutworm. But more experiments in the lab and in the field are required to validate the efficiency of the proposed system. Keywords: tobacco cutworm, Spodoptera litura, wireless sensor network, agricultural automation


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Integrated Scenario Development for Sustainable Land and Water Use Along the Tarim River, Xinjiang, China

Til Feike Institute of Farm Management

Universität Hohenheim 70593 Stuttgart, Germany


Michael Kusi Appiah

Institute of Farm Management Universität Hohenheim

[email protected]

Yusuyunjiang Mamitimin Institute of Farm Management (410c)


Lin Li

College of Water Resources and Architectural Engineering Tarim University [email protected]

Reiner Doluschitz

Institute of Farm Management (410c) Universität Hohenheim

[email protected] ABSTRACT

The Tarim River Basin is a continental arid region in the Northwest of China, which is characterized by extreme vulnerability. Increasing population coupled with rapid expansion of agricultural land has put enormous pressure on water resources, limiting a sustainable development in ecological, but also economical terms. Integrated scenario development was employed to set the frame for an indicator based Decision Support System for sustainable land and water management in the region. To understand the current situation of land and water use in the region, and its historical development, long term statistical data on county level from 1989 until 2009 were analysed. A tremendous increase in agricultural land, especially cotton production area can be observed. The increase is significantly stronger in the counties along the upper reaches of the river, than on the lower reaches. Additionally recent agricultural policies were investigated. The grain for green policy, which encourages the conversion of agricultural land into forests led to a sharp increase in the establishment of orchards, especially red date plantations. To evaluate short term future developments, the 12th 5-year plans on national, provincial and prefecture level, were assessed. The government emphasizes on the expansion of light industry to reduce the pressure on natural resources. Furthermore, key driving forces that impact the future development of the region were identified and evaluated together with local key stakeholders. Finally four groups of possible futures were developed. They range from focus on rapid economic development to an emphasis on the ecological capacity and sustainable development. Stakeholders and policy-makers might try to develop and implement a comprehensive River Basin Management plan and focus on maximizing the output on regional level, or local interests might prevail, and downstream counties might suffer from severe lack of water availability. Keywords: land use change, resource competition, scenario development, China

Seminar 19- Nature Protection / Seminar (19)-01

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137

Information System for Monitoring Natural Resource Use by

Agriculture in a State

Vasant Gandhi Indian Institute of Management

Ahmedabad, India 91-79-66324854

[email protected]

Anita Gandhi Maitri Designs

[email protected]

ABSTRACT

The management of natural resources is becoming increasingly critical for raising agricultural production and improving rural livelihoods in India. For a long time, technology drove agricultural production and income growth but it is now becoming increasingly evident that unless natural resources, including water and soils, are managed effectively, production growth and livelihoods would suffer. Agriculture is the largest user of natural resources and is highly dependent on them. Yet there is little effort to systematically monitor the demand that agriculture makes on the natural resources, how this can be managed, and whether this is sustainable. The paper presents the design of an information system which monitors the use of natural resources by agriculture at the state level. It includes the land use/ crops grown with their demand on natural resources such as water and soil nutrients, the development of natural resource use such as wells and irrigation infrastructure covering both ground and surface water irrigation, and the large development initiatives such as watershed development projects for conservation of water and improvement of soil conditions. It uses data from a survey of 542 rural households in the state of Andhra Pradesh. On the whole it provides a picture of the demand, supply, balance, and sustainability of natural resource use in a state, highlighting the needs for controls and development assistance for achieving more efficient and sustainable use of natural resources for agriculture and livelihoods. Keywords: information systems, natural resources, decision support


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138

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Environmental Monitoring of Village Contaminated by

Radionuclides

Masaru Mizoguchi Graduate School of Agricultural and Life Sciences

The University of Tokyo 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan

Tel: +81-3-5841-1606 [email protected]

Tetsu Ito

Division of Sensor Networking X-Ability Co., Ltd. [email protected]

Daiki Kobayashi

Graduate School of Agricultural and Life Sciences The University of Tokyo

[email protected]

ABSTRACT

On March 11, 2011, a massive earthquake struck the eastern region of Japan, causing widespread devastation. Since then, agricultural engineers throughout Japan have combined their experience and have been working on a variety of restoration projects. One such project involves the restoration of farmland contaminated by radionuclides; however, this is a new type of challenge with many unknowns. For example, do countermeasures for soil contamination exist? How should we evaluate the efficiency of the farmland decontamination efforts? We propose that it is necessary to monitor radiation continuously at points referred to as hotspots in rural areas. However, although people need an economical radiation sensor that gives a relative value, such meters are typically expensive. These high costs prompted a volunteer group to develop a pocket radiation sensor. We have also been developing a field monitoring system (FMS) for quasi-real time data collection from remote agricultural fields in Asia. In October 2011, we added this new radiation sensor to our in situ soil monitoring in Iitate, Fukushima. Here we explain the outline of an FMS with a radiation sensor. We believe that an FMS fitted with a radiation sensor is a useful tool for remediation of the radionuclide contaminated farmland. Keywords: field monitoring system (FMS), radiation sensor, earthquake disaster reconstruction, remediation of village


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An Integrated Automatic Monitoring System to Study

Overwintering Purple Crow Butterflies and Their Overwintering Habitats in Southern Taiwan

Jung-Tai Chao Taiwan Forestry Research Institute

[email protected]

Chau-Chin Lin Taiwan Forestry Research Institute

+886-2-23039978 ext 2660 [email protected]

Hung-Jen Lin


Chi-Li Chiang Taiwan Forestry Research Institute

Yun-Shu Yu


Hung-Chang Lu Taiwan Forestry Research Institute

ABSTRACT

Hundreds of thousands of Purple Crow butterflies (Euploea spp.) fly to dozens of "Butterfly Valleys" (or actually groves) in southern Taiwan (ca. 23° 03' N) for overwintering around the end of November each year. Along with the 4 species of Purple Crow are 8 species of other danaid butterflies in fewer numbers. However, habitat destruction has seriously threatened the survival of Purple Crow in recent years. Therefore, habitat requirement of the overwintering Purple Crow needs to be identified in order to conserve this diverse array of butterflies and to restore their degraded habitats. To monitor the physical characteristics, e.g., temperature, humidity, wind speed etc., of the Purple Crow’s overwintering habitats, we integrated the cutting edge technology of wireless networking, radio communication, environmental sensors, data management, and information analysis to build a monitoring system, which may serve as a new model of ecological research. We selected 3 hill groves in Liukuei of Kaohsiung County, Dawu of Taitung County, and Maoling of Kaohsiung County in southern and eastern Taiwan to set up the wireless sensor monitoring system. A total of 43 meteorological sensors, 3 video cameras were installed on 14 towers at the 3 sites. Information management including data transformation, documentation, archiving and analysis are all included in this integrated monitoring system and all information can be shared through internet. Keywords: Purple Crow butterfly, overwintering, monitoring, sensor network


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Development of a Non-Destructive Detector of Unsuitable

Chicken Eggs for Use in Influenza Vaccine Production

K. Kimura Graduate School of Science and Technology

Niigata University Niigata 950-2181, Japan


K. Nakano

Graduate School of Science and Technology Niigata University

[email protected]

S. Ohashi Graduate School of Science and Technology

Niigata University

K. Takizawa Graduate School of Science and Technology

Niigata University

T. Nakano Kagoshima Immaculate Heart University

ABSTRACT

In Japan, fertilized chicken eggs are used to produce influenza vaccine. However, some eggs do not develop, and then contaminate the vaccine stock solution, causing large economic losses and raising health concerns. Therefore, here, a non-destructive test allowing distinction of suitable and unsuitable chicken eggs was developed, using near-infrared spectroscopy (NIRS) and a light-emitting diode (LED) light source. Normal and unsuitable eggs were sampled from an egg farm, where a well-experienced farmer assessed the eggs by candling. Linear discriminant analysis was applied using wavelength absorbance data to distinguish between normal and unsuitable eggs. The result showed that all the optical absorbance values of normal eggs were higher than that of unsuitable eggs. The rate of discrimination between the 2 types of eggs exceeded 95% when using linear discriminant analysis and 2 wavelengths in the visible light range. To reduce the production cost, LED lights and photodiodes were used as light source and light receptors, respectively. Moreover, detection software that is able to measure the optical characteristics of 36 eggs in a typical shipping tray was developed, and that can control the duration and interval of LED lighting. Keywords: absorbance, influenza vaccine, LED, visible and near infrared spectroscopy


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Variable Rate Fertilizer Applicator Based on AVR Microcontroller

P.A.S Radite Dept. of Mechanical and Biosystem Eng., Fac. of Agric Eng. and Technology,


M. Tahir Sapsal

Agricultural and Food Machinery Study Program, Graduate School Bogor Agricultural University

P. Gunawan

Agricultural and Food Machinery Study Program, Graduate School Bogor Agricultural University

W. Hermawan

Dept. of Mechanical and Biosystem Eng., Fac. of Agric Eng. and Technology, Bogor Agricultural University

B. Budiyanto

Dept. of Meteorology and Geophysics, Fac. of Mathematics and Natural Sciences Bogor Agricultural University

ABSTRACT

The developed granular fertilizer applicator was 4 rows mounted on a multipurpose paddy field vehicle. The prototype has metering system with star type wheel rotors. The speed of the rotors was controlled digitally based on an 8-bit AVR 128 microcontroller module. The system developed was able to precisely meter the granular fertilizer and changed the dosage precisely and quick. The control system also allowed recording of data during the process of application. Its position in the field was monitored using DGPS. Test results showed that the metered fertilizer had a linear relationship to rotation of the rotor and consistent along with time either in single rotor or double rotor operation with coefficient determination of more than 98%. In single rotor operation, the metering could give dose of application up to 370 kg/ha of urea fertilizer, 800 kg/ha of SP-33 fertilizer and 550 kg/ha of NPK fertilizer. Stair response operation on single rotor to the target dose 50, 100, 150, 200, and 250 kg/ha in the field using urea, SP-36 and NPK granular fertilizer gave errors in the range of 0.28-3.33 %, 0.38-16.87 % and 2.31-12.82 % respectively.. Geodetic data conversion to the local coordinates using differential ECEF to ENU method with 5 decimal of data precision can result in sufficient accuracy, i.e. less than 0.3 m for trip less than 100 m both Easting and Northing direction which was enough for application in paddy field which usually had area less than 0.3 ha per block. Keywords: Precision farming, variable metering device, electronic metering


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Development of Intelligent Control System for Greenhouse

Andri Prima Nugroho Graduate School of Bioresource and Bioenvironmental Sciences

Kyushu University 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, JAPAN


Takashi Okayasu


[email protected]

Hajime Fushihara Naturalstep Inc.

[email protected]

Osamu Hirano Intellectual Property Management Center


Muneshi Mitsuoka


[email protected]

Eiji Inoue Division of Agro-environmental Sciences


ABSTRACT

Various informatization agricultural supporting systems have been developed using ICT (information and communication technologies) to improve agricultural productivity. However agriculture is very complex system in general and thus is strictly influenced by climate, weather, soil conditions, crop types, and so on. Authors have also proposed the supporting system called “Agri-eye” in which a field monitoring, crop growth and quality evaluation, work recording, and online data offering and sharing sub-systems were incorporated. On the other hand, actuation sub-system for controlling agricultural facilities in a greenhouse such as a heater, pumps, fans, a CO2 generator, etc. has not been developed and installed up to present. The actuation system based on agricultural information measured by field monitoring sensors is effective to improve quality of agricultural product and reduce the energy used for facilities introduced in a greenhouse. In this study, we proposed an intelligent control system for a greenhouse, which covers monitoring and actuation system for agricultural facilities. The prototype system for establishing a low-cost irrigation control system has been designed based on a single board microcontroller called ArduinoTM. The system is utilized as a local system, which has a controlling function for the irrigation unit in the greenhouse while the configuration of the local actuation system is achieved by the management sub-system in the Agri-eye. The developed system was applied to establish optimal and ecological irrigation control for Japanese Mustard Spinach (Brassica rapa) cultivation in the greenhouse. Keywords: monitoring and actuating system, global and local management, control system, feasibility study


SEP. 05

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Y, 20

12

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143

Simple and Rapid Measurement of Nitrate Nitrogen Content in Plant Using Mid-Infrared Spectroscopic Method

Atsushi Hashimoto, Department of Sustainable Resource Sciences

Mie University 1577 Kurimamachiya-cho, Tsu, Mie 514-8507, Japan

+81 59 231 9603 [email protected]

Daisuke Kihara

Department of Sustainable Resource Sciences Mie University

Ken-Ichiro Suehara


Takaharu Kameoka


Takao Kumon Research Institute Kagome Co., Ltd.


This study aims to develop a simple and rapid determination method of nitrate nitrogen content representing the information of the plant vigor using Fourier transform infrared (FT-IR) spectroscopy with an attenuated total reflection (ATR) method. Firstly, the distributions of nitrate nitrogen contents on tomato leaves were carefully studied, since the leaf is a place for photosynthesis and could be an index of the plant vigor. The contents dynamically and seriously distributed within the leaves, and the ratio of the content at the highest part was more than the decuple at the lowest one. Because an extremely small area on the leaf could be measured by the ATR method, the spectral information could not reflect the index of the average information of the nitrate nitrogen content. We then collected the infrared spectra of the juices squeezed from the leaf and petiole, and their spectral features were quantitatively analyzed based on the nitrate nitrogen contents obtained by an ion chromatography method. The spectral features of the petiole extracts around 1350 and 1392 cm-1, in which the peaks characterizing nitrate nitrogen, were very similar to those of the aqueous solution of nitrate nitrogen, and the relationship between the peak intensities around 1350 and 1392 cm-1 and the nitrate nitrogen contents showed the excellent linearity. In addition, it seems that the petiole juice could be more suitable for the measurements of the nitrate nitrogen contents than the leaf one. Moreover, we could successfully acquire the accurate spectra of the simple cross sections of the petioles, and the spectra indicated spectroscopically similar to the spectra of the extracts. Consequently, the experimental results presented a great potentiality to obtain the quantitative information of nitrate nitrogen at the cross section of petiole using the mid-infrared spectroscopic analysis in the agricultural fields. Keywords: infrared spectroscopy, petiole, nitrate nitrogen, cultivation


SEP. 05

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SDA

Y, 20

12

SEP. 05

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Y, 20

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144

SEP. 05

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Y, 20

12

SEP. 05

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Y, 20

12

Automated LED Lighting Compensation System for

Shortening the Plant Growth Period

Wen-Yaw Chung Department of Electronics Engineering

Chung Yuan Christian University [email protected]

Po-Tsun Chen

Department of Electronics Engineering Chung Yuan Christian University

200,ChungPei Rd., Chung Li , Taiwan 32023 , R.O.C +886-3-265-4633

[email protected]

ABSTRACT

Intensity and time of light exposure is one of the key to the growth rate of vegetables. With enough light intensity and extending the time of light exposure can effectively reduce the growth period. This study presents the use of light emitting diodes for light compensation technique in extending the plant exposure to light with enough radiation intensity. The system composed of light emitting diode, driver circuit and light intensity sensing circuit. When the sunlight intensity is below 2000 LUX through the light intensity circuit, light emitting diode lamps will switch on. Two set of lighting was used, wherein 5000 LUX white light emitting diode and with light intensity of 2500 LUX combination of red-blue (7:1 ratio) light emitting diode was used in the lighting system. The system power supply is DC 5V, current which is less than 0.25A, total power consumption of the system is 1.25W, and it has efficiency of 80% and above. In the experiment, lettuce plant was used, from seedling to crop harvest, under the sunlight exposure, it takes 60 to 90 days but with the proposed lighting compensation system it only takes 30 to 45 days, in which the growth rate is doubled and the growth period is reduced to 50%. Keywords: light emitting diodes, compensation system, plant growth period, light intensity


SEP. 05

WED

SDA

Y, 20

12

SEP. 05

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SDA

Y, 20

12

SEP. 05

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Y, 20

12

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145

The Study on the Integration of Crop Model, Spatial Soil Water

Balance Model and Hydrological Model

Tien-Yin Chou Geographic information system research center

Feng Chia University No. 100, Wenhwa Rd., Seatwen, Taichung, Taiwan

04-24516669 [email protected]

Chih-Yuan Chien

Geographic information system research center Feng Chia University

[email protected]

Bruno Basso Dept. of Geological Sciences

Michigan State University [email protected]

Mei-Ling Yeh

Geographic information system research center Feng Chia University

[email protected]

ABSTRACT

Crop model has been developed for decades to predict the crop yield or to assess the impact from the environment etc.. Most of the robust crop models simulate the changes of the soils and the crops based on a point in the field. They have proven to be effective in simulating the water balance of soils when the drainage is vertical, often an unrealistic assumption. With the advances in spatial information technology, terrain analysis could describe the movement of water on the surface. This information can be used in the simulation of the soil water balance. Spatial soil water balance model simulate the spatial soil water balance and how the terrain affects the water routing across the landscape. In this study, we propose a possible solution to create spatial crop growth model by integrating spatial soil water balance model and hydrological model. This paper consists of the review of the crop model, terrain analysis and soil water simulation, the framework of the new spatial crop model. Keywords: crop model, soil water balance, hydrological model, spatial information


SEP. 05

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SDA

Y, 20

12

SEP. 05

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SDA

Y, 20

12

146

SEP. 05

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SDA

Y, 20

12

SEP. 05

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Y, 20

12

Statistical Downscaling Model Based-On Support Vector Regression to Predict Monthly Rainfall: A Case Study in

Indramayu District

Agus Buono Department of Computer Science, Faculty of Mathematics and Natural Sciences

Bogor Agricultural University Center for Climate Risks and Opportunity Management in Southeast Asia and Pacific

post : 16680 62-251-8625584/62-821-1364-1836

[email protected]

Muhammad Asyhar Agmalaro Department of Computer Science, Faculty of Mathematics and Natural Sciences

Bogor Agricultural University

Mushthofa Department of Computer Science, Faculty of Mathematics and Natural Sciences


Muhammad Faqih

Department of Agro-meteorology, Faculty of Mathematics and Natural Sciences Bogor Agricultural University

ABSTRACT

Knowledge of weather and climate, especially rainfall is significantly needed in agricultural sector. Accurate information of rainfall can be used to determine the planting pattern and time appropriately, so that farmers can avoid crop failure caused by floods due to high rainfall and drought due to low rainfall. Techniques of statistical downscaling (SD) using a global circulation model output (GCM) are commonly used as a primary tool to learn and understand the climate system. The aim of this research was to develop an SD model using support vector regression (SVR) with GCM as input to predict monthly rainfall in the district of Indramayu. The research results showed that GCM can be used to predict the average value of monthly rainfall. The best result of prediction is at the Bondan Station having an average correlation of 0.766. Keywords: Statistical downscaling, global circulation model, support vector regression, monthly rainfall


SEP. 05

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Y, 20

12

SEP. 05

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Y, 20

12

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Y, 20

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147

Achieving Competitive Advantage for Agribusiness Through Supply Chain Management

A System Dynamics Simulation and SCOR Model Approach

Hoetomo Lembito Student of Doctoral Program in Business Management

Graduate School of Management and Business - Bogor Agricultural University (IPB) Building MB IPB - Jl. Pajajaran Raya, Bogor 16151 - Indonesia


Kudang Boro Seminar

Department of Mechanical & Biosystem Engineering Faculty of Agricultural Technology (Fateta), Bogor Agricultural University (IPB)

[email protected]

Nunung Kusnadi Department of Agribusiness

Faculty of Economics and Management Bogor Agricultural University (IPB) [email protected]

Yandra Arkeman

Department of Agro Industrial Technology Faculty of Agricultural Technology (Fateta), Bogor Agricultural University (IPB)


The supply chain management (SCM) encompasses all activities associated with the flow and transformation of goods from the raw materials stage, through to end users, as well as the associated information flows. Supply chains are essentially a series of linked suppliers and customers; every customer is in turn a supplier to the next downstream organization until the finished product reaches the ultimate end user. The global business environment including agribusiness is in a state of transition, being influenced by globalization, strategic alliances, merger and acquisition, business process and reengineering. The rapid advancement of information technology is also having its affect on businesses and their management. These changes in turn effect the management of supply chains of all businesses. As a result, agribusiness firms are responding to the emerging challenges in global economy by seeking the benefit of greater collaboration and integration with both their suppliers and customers to ensure more sustainable and profitable trading arrangements. The Supply-Chain Operations Reference (SCOR) model to assist firms in increasing the effectiveness of their supply chains, and to provide a process-based approach to SCM A system dynamics model for SCM will be used as a decision support tool for evaluation and understanding of the problem that arises in agribusiness. The potential of system dynamics in evaluating the increasingly challenging market place with growing field of competitors is employed by SCM decision makers to generate an insight into the available SCM alternatives in achieving competitive advantages. The purpose of this paper is to provide agribusiness executives with an opportunity to examine critical issues and strategies in the SCM for agricultural products for delivering value to consumers while remaining globally competitive by developing system dynamic simulation and the SCOR model approach. The paper uses case study of Palm Oil Industry to demonstrate a simulation model of SCM. Keywords: Competitive Advantage, Supply Chain Management, System Dynamic, SCOR


SEP. 05

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Y, 20

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148

SEP. 05

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Assessment System Model Design for Indonesian Shrimp

Export Product Based on Quality Assurance and Food Security Regulation

Hartrisari Hardjomidjojo Department of Agroindustrial Technology

Bogor Agricultural University Dramaga Campus, PO Box 220, Bogor, Indonesia


Wahyu Fitrianto

Department of Agroindustrial Technology Bogor Agricultural University

[email protected]

ABSTRACT

Shrimp is one of the main non-oil exported product of Indonesia. The shrimp is exported to some countries such as Japan, United States, China, South Korea, Thailand, the Philippines and European Union. Indonesian shrimp contributed about US$ 75.38 to export revenue on 2011, but the country faced the problem of quality, so that occasionally the shrimp has been rejected by destination countries. Indonesian should monitor the quality of shrimp in order to minimize rejection of exported shrimps. Based on government regulation (no. 31/2004) Indonesian government has declared that certifications are considered as components on quality assurance system and security of fish products. Certification required is related to conformity of achievement on standard operation procedure of shrimp cultivation, sanitation, import procedures and HACCP. Model called ShAssy (Shrimp Assessment System version 1.0) has been designed for government official in monitoring and evaluating the performance of shrimp farms based on the indicators related to suitability of quality assurance and food security regulation standards. Model was developed by using system approach based on comprehension of system mechanism. The model consists of six sub-models of monitoring and evaluation shrimp cultivation, harvesting, collecting, processing, fish products testing laboratories and fish importers. Model has been verified and validated with department of fisheries Result showed that the highest non conformity to the standard is found at shrimp farms (70%) and shrimp collectors (61%). The best performance described by smallest is performed for importers (5%) and processing units (15%). The result shows that Assurance and Food Security have been proven not sufficiently implemented by the farmers and collectors. ShAssy v.1.0 has shown its availability on measuring the effectiveness of suitability achievement compared to defined standards Keywords: Shrimp Assessment System, Quality Assurance, Food Security, Model Design


SEP. 05

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SDA

Y, 20

12

SEP. 05

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149P

OSTER

The Application of RFID on the Management of Phalaenopsis Production

Ting-En Dai Floriculture Research Center

Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan +886-5-5820822#119

[email protected]

Po-Kuang Chang Identification and Security Technology Center

Industrial Technology Research Institute [email protected]

Wei-Ting Tsai

Floriculture Research Center Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan

[email protected]

Ting-Fang Hsieh Floriculture Research Center

Taiwan Agricultural Research Institute, Council of Agriculture, Executive Yuan [email protected]

ABSTRACT

In 2005, the Wal-Mart Corporation showcased the application of the Radio Frequency Identification (RFID) technology. Since then, RFID has been widely adopted in the logistics sector. RFID-related technologies were also introduced in the management of the production process. Recently, cases where RFID is applied to agricultural products have often been seen in countries all over the world. To improve the efficiency of Taiwan’s agricultural production management and quality, the Council of Agriculture put their focus on the development of RFID applications. Since RFID features instant and traceable data reading capability, not only the production information but the information about the supply chain becomes transparent as well; this ultimately enhances management efficiency of the entire supply chain. With RFID, information on product events occurring in every part of the supply chain can be recorded and tracked, and suppliers can get the full picture of their current status. These data can be further used as the basis of process improvement, and the production processes can stay at their optimal conditions. Funded by the information center program of the Council of Agriculture, the Floriculture Research Center has planned and verified the idea of applying RFID to the production management of phalaenopsis, which is the subject of the pilot implementation plan. This plan intends to integrate RFID into the production management of phalaenopsis to boost its efficiency. As the control accuracy of the production process increases, the survival rate also rises. The results of our verification show that the introduction of RFID into the value chain management system of phalaenopsis can increase the transparency of the supply chain and enhance the speed and accuracy of the data collection. The data collected in real time and on site can then be utilized to improve the operation process in addition to increasing the management efficiency and added values. Consequently, the international competitiveness of phalaenopsis industry in Taiwan will be effectively strengthened. Keywords: Tissue culture, greenhouse production, tray positioning

Poster-01

SEP. 05

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SDA

Y, 20

12

SEP. 05

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SDA

Y, 20

12

150

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

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Y, 20

12

Crop Genetic Resources Information System

Shu Chen Division of Plant Germplasm


Ien-Chie Wen

Division of Plant Germplasm Taiwan Agricultural Research Institute

[email protected]

Shu-Fen Chang Chiayi Agricultural Experiment Station Taiwan Agricultural Research Institute

[email protected]

ABSTRACT

The genetic diversity of germplasm is the foundation of agricultural genetic improvement, sustainable agriculture and coping with climate change. There are two types of germplasms preservation,including seed preservation and vegetative propagation preservation. In this report, we intend to introduce the seed preservation database of the Plant Genetic Resources Information System (http://www.npgrc.tari.gov.tw), as well as the two vegetative propagation preservation database of the Temperate Fruits Germplasm Information Network (http://digifruit.tari.gov.tw) and the Tropical & Subtropical Fruits Germplasm Information Network (http://caes.gov.tw/FruitGermplasm). The Plant Genetic Resources Center was established in 1993. The Plant Genetic Resources Information System provides the query service for the data related to preserved seeds. Currently, there are 75,314 records of passport data, 27,782 records of characterization data and 8,517 records of image data in the database, covering 193 families, 783 genera, and 1,466 species of plant germplasms. The Temperate Fruits Germplasm Information Network has collected the images and detailed characteristic data of 160 cultivars (lines), such as apple, pear and peach. The Tropical and Subtropical Fruits Germplasm Information Network has collected the genetic resources data, covering 47 families, 117 genuses and 213 species since 1918. Keywords: Crop, genetic resource (germplasm), fruit tree

Poster-02

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

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SDA

Y, 20

12

SEP. 05

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Y, 20

12

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151

Building and Implementation Results for the Agricultural

Information Mobilization Platform

Hong-Zong Wu Information Management Center


[email protected]

ABSTRACT

To achieve the e-government goals of “developing active services,” “creating a quality life,” “increasing universal access to information services,” and “enhancing social care,” the Council of Agriculture (COA) has built the agricultural information mobilization platform to compile various agricultural resources, setup an integrated information portal, and provide agricultural information through diverse publishing channels within one website. The platform actively sends information to farmers via SMS, e-mail, and fax, based on their individual requests, to improve the farmers’ access to agricultural information and to enable timely communication to aid in policy making, marketing, and welfare efforts by providing farmers with appropriate measures to promote farmers’ e-care. As mobile internet technology gains in popularity, agricultural applications specially designed for mobile devices increase the immediacy and convenience of information services and help users obtain diversified and multi-channel utilization of resources, in turn enabling the general public to fully experience the convenience of agricultural information communication services and applications. In short, these advances are unveiling a new era of mobilized agricultural information services. Keywords: e-government, mobile devices, Short Message Service (SMS), Ubiquitious Network Society, Mobile applications, Agricultural information

Poster-03

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

152

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

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Y, 20

12

Establishment of Traceability System and Information Website on Minipigs Supply for Biomedical Usage by Introducing RFID

Technology

Hsien-Pin Chu Livestock Research Institute

Council of Agriculture, Executive Yuan +886-89-224634 #218 [email protected]

Ling-Wei Yang

Livestock Research Institute Council of Agriculture, Executive Yuan

[email protected]

Yong-Yu Lai Livestock Research Institute


Chun-Ta Chang

Livestock Research Institute Council of Agriculture, Executive Yuan

[email protected]

ABSTRACT

This article introduces the traceability system for minipig supply for biomedical use, which includes RFID (Radio frequency identification) ear tags, 134.2KHz portable scanning device, Bluetooth massive information collecting device and other network devices to construct a wifi intranet. The system is then connected to the MS SQL database server of the Animal Genetic resources Information Network in order to improve efficiency and reduce costs, thus creating an accurate and detailed traceability system. Moreover, by setting up a biomedical minipig supply website (http://minipigs.angrin.tlri.gov.tw/) and expending XOOPS, the project is able to provide research units with simultaneous and accurate traceability information which could help introduce Taiwan’s biomedical minipigs to the world. Keywords: minipig, RFID radio frequency identification

Poster-04

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

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SDA

Y, 20

12

SEP. 05

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Y, 20

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153

Strengthening the Mobility Aspect of Land Area Survey Systems for Planting Sensitive Crops – Establishing an Image Database

with Photo G-Tagging Capability

Lien-Yi Hsieh Agriculture and Food Agency

Council of Agriculture, Executive Yuan 886-49-2332380#1172 [email protected]

ABSTRACT

In order to survey an accurate estimation of planting areas for sensitive crops and to provide an improvement over the manual system, which relied on visual observations, the Agriculture and Food Agency (AFA) of the Council of Agriculture has begun using mobile devices (PDAs or tablet PCs) to provide a tool for production forecasts and early warnings related to production and marketing. This new system was developed by Feng Chia University (FCU). Based on GIS technology and employing cadastral data, the new system is equipped with GPS to help survey the planting areas on a case-by-case basis. The data are then used to establish areas for planting 13 different crops: garlic, onions, oranges, jujubes, peanuts, pineapples, wentan pomelos, pears, guavas, tea, plums, daylilies, and kumquats. The agency has also actively acquired maps from river and public land management authorities. These maps are overlaid on the images in the system to be used by river district public service units for surveys. The system is made available to various public officials to verify whether any piece of land was used for planting crops before or after a disaster. This reduces misinformation that has lead to false claims by farmers. With the added feature of a G-Tag digital camera, public officials are now able to take photos during surveys. The photos are uploaded and tagged into the map platform to enhance the effectiveness of onsite surveys. Keywords: Personal Digital Assistant (PDA), Global Positioning System (GPS), Geographic Information System (GIS)

Poster-05

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

154

SEP. 05

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SDA

Y, 20

12

SEP. 05

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Y, 20

12

Application of Radio Frequency Identificaiton Technology in Deer

Farm Management

Hsiao-Mei Liang Kaohsiung Animal Propagation Station

Livestock Research Institute, Council of Agriculture, Executive Yuan +886-8-7795356

[email protected]

Hsin-Hong Lin Kaohsiung Animal Propagation Station

Livestock Research Institute, Council of Agriculture, Executive Yuan [email protected]

Shann-Ren Kang

Kaohsiung Animal Propagation Station Livestock Research Institute, Council of Agriculture, Executive Yuan

[email protected]

Chih-Hua Wang Livestock Research Institute


ABSTRACT

During breeding season, male deer have a tendency to become aggressive and difficult to approach. Deer behavior during this period can be very dangerous for farmers. The use of radio-frequency identification (RFID) tags to record deer information without the need to touch the animals, however, protects farmers and improves efficiency in deer management. The purpose of this project was to apply RFID in developing a management system for deer farms. Five stags were tagged with RFID ear tags, which were applied using ultra high frequency identification transceiver technology. The electronic panel was set up as a reader in the passageway of the deer pen. In addition, a management system was developed which connected to the electronic reader so as to analyze data relative to the established items to be recorded, which included: general data about the deer, vaccination information, weight information, estrus data, delivery data, velvet production data, information on the use of frozen sperm, costs and balances for the farm, and information about the breed of the deer. When a deer ran through the electronic panel with its ear tag, this ear tag’s data would be read and sent to the computer via a wireless network. The results showed that even when stags ran very quickly, the ear tag data could still be read by the electronic reader in its entirety and immediately delivered to the computer system. This RFID technology and the related system for obtaining detailed data about the deer provided the management information and performance planning necessary to enhance benefits and efficiency. Furthermore, RFID technology and systems can also be used to track diseases, animal movements, and the processing of products to increase consumer confidence in purchasing deer products. Keywords: Deer, radio-frequency identification

Poster-06

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

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Y, 20

12

SEP. 05

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12

155

Digital Mobile Management in the Tea Industry

Tien-lin Liu Tea Research and Extension Station

Council of Agriculture, Executive Yuan +886-3-4822059 # 806 [email protected]

Jia-Ru Dai

Tea Research and Extension Station Council of Agriculture, Executive Yuan

[email protected]

Mu-lien Lin Agricultural Engineering Division, Taiwan Agricultural Research Institute


ABSTRACT

Due to advances in mobile communication technology, managers in the tea industry can now handle production and marketing management, map out decision-making strategies, and use mobile communications in other areas as a value-added application anytime and anywhere at their discretion. The present project used smartphones as a mobile platform to develop a mobile record system for tea farmers to record processes such as cultivation management, fertilization, pest and disease control, harvest planning, and tea processing. Users of the system can sign in to access information simply via the smartphone platform; meanwhile, the data on websites can be updated immediately. The helper function provides add-ons such as a fertilizer calculator, queries on the residue limits of agricultural chemicals for tea, and recommendations and information on agricultural chemicals for tea plantations. By 2010, a total of 112 pieces of data had been uploaded, indicating that this method for a mobile recording system for tea industry production management is feasible. Keywords: traceability system, tea industry, smartphone, information and communication technology

Poster-07

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

156

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

Application of RFID in Monitoring Egg Production Parameters of

Floor-Reared Geese

Shen-Chang Chang Changhua Animal Propagation Station, COA-LRI

Department of Animal Science, National Chung Hsing University +886-4-8884106#32

[email protected]

SMin-Jung Lin Changhua Animal Propagation Station, COA-LRI

Department of Animal Science, National Chung Hsing University [email protected]

Yu-Shine Jea

Changhua Animal Propagation Station, COA-LRI Department of Animal Science, National Chung Hsing University

[email protected]

Yang-Kwang Fan Department of Animal Science

National Chung Hsing University [email protected]

ABSTRACT

Third-lay White Roman Geese from the Changhua Livestock Propagation Station of the Council of Livestock Research, Council of Agriculture, Executive Yuan, were selected and moved into goose housing for closed-environment breeding prior to the egg-laying period. In the experiment, a total number of 532 geese (121 ganders and 411 geese) were randomly allocated into 9 pens according to sex with each pen containing 60 birds among which 12 were ganders and 48 geese. This experiment installed RFID device in 4 of the pens to collect egg-laying data, and the rest of the sheds were assigned as control group. In addition, the RFID system was used to record the events of cage-entry by individual geese. The flocks approaching the egg-laying period (12 ganders and 48 geese) were monitored for individual cage-entry frequency, daily cage-entry frequency, and events of cage-entry during each period. The experimental result showed a cage-entry frequency of 100%, which indicated that all geese entered the egg-laying area. The current egg-laying recognition management system can be used to monitor egg-laying as retrieval of geese egg-laying data was possible. The proportion of egg-laying geese that occupied the nests for a period shorter than 30 minutes or longer than 1-1.5 hours was 19% of the total number of geese, and the highest proportion of 35.4% of geese occupied the nests for 0.5-1 hour. As indicated by the abovementioned results, RFID systems can be utilized to monitor the egg-laying event of individual geese through collection of data on geese entry into egg-laying area. Keywords: Radio Frequency Identification, laying egg, White Roman geese

Poster-08

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

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SDA

Y, 20

12

SEP. 05

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12

157

The Information Management System on Production of Domestic

Forage Crops by Mobile Device

Shui-Tsai Chen Technical Service Division,

Livestock Research Institute, Council of Agriculture Executive Yuan +886-6-5911211#292

[email protected]

Yeong-Chyn Wang Technical Service Division,

Livestock Research Institute, Council of Agriculture Executive Yuan [email protected]

Tying-Siyum Hsiao

Livestock Management Division, Livestock Research Institute, Council of Agriculture Executive Yuan

[email protected]

ABSTRACT

This research captured the production records of forage crops, including fertilization, cultivation, and harvest activities, with tablet PC mobile devices with Global Positioning System (GPS), Google Map, photography, and 3G telecommunication technologies. Photographs were employed to assist the fieldwork and to record crop conditions for cultivation. The developed system offers important picture recordings and text recordings that serve as a reference to support pasture cultivation decision-making. The current system was developed with Java (the programming language) and the Android operating system combined with Google Map, GPS, photography, Wi-Fi, and 3G mobile internet. In the field, online map data and vector information is accessible in real time for browsing and geographic positioning. Additionally, various types of geographical and time information are displayed from map queries. This program integrated the geographic space, photogrammetry, time, and attribute data of GIS for instant in-field recording of fieldwork. The data uploaded to the domestic forage crop GIS via the tablet PC are compiled into an important mobile system for domestic forage crop production.

Keywords: domestic forage crops; mobile information; tablet PC

Poster-09

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

158

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

Leisure Agriculture and In-Depth Travel Tourism — Guide and

Marketing Integration Platform

Tsang-Sen Liu Division of Agricultural Chemistry


Yu-Wen Lin

Division of Agricultural Chemistry Taiwan Agricultural Research Institute

[email protected]

Horng-Yuh Guo Division of Agricultural Chemistry


ABSTRACT

The Taiwan Agriculture Research Institute (TARI) adopted various updated information technologies attempting to develop a service platform to promote local agriculture leisure tourism. The centerpiece of “Leisure Agriculture and In-depth Travel Tourism—Guide and marketing Integration Platform” (also known as “Taiwan Travel Beam”) uses a Web 2.0 framework enabling users of all fields to apply, participate, and share local agricultural, ecological, cultural, and historical knowledge, as well as travel information services such as housing, cuisines, and agricultural products. “Taiwan Travel Beam” intends to enhance capacities of public services and strengthen trust and linking between society and government. The purpose is to accelerate the development of rural tourism industry, attract prevalent participation by the public, strengthen international marketing, and substantively enhance the global competitiveness of Taiwan agriculture through expected industrial cluster effects of such a Platform. Keywords: Social media marketing, location-based service, Creative Common

Poster-10

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

159

RFID Usage in Management and Traceability Systems for Egg

Containers

Yuan-Chen Ou Department of Bio-Industrial Mechatronics Engineering

National Chung-Hsing University

Kuang-Wen Hsieh Department of Bio-Industrial Mechatronics Engineering

National Chung-Hsing University +886-4-22857593

[email protected]

ABSTRACT

In the egg industry, wholesalers purchase produced eggs, creating the need for a circulation system of egg containers. Transport operators centralize egg containers from different farms. Additionally, reused egg containers are circulated between human, livestock, and poultry environments. Traceability and management of boxed fresh eggs as well as the cleaning and sterilization of egg containers are important product safety issues. For this study, electronic RFID (Radio Frequency Identification) tags suitable for the cleaning and sterilization process for egg containers were used to monitor the management and traceability of the containers. The flow of egg containers is managed using a circulation management system that records farms, transport operators, and grocery stores that have used the containers over a period of time. The cleaning information for the egg containers is also recorded in an egg container cleaning information management system (ECCIM). The integration of these pieces of data in the egg container traceability system (ECTS) allows the system to provide information to users via internet queries. Consistent cleaning and sterilization of egg containers not only enhances disease prevention at farms; the cleaner egg containers resulting from the establishment of an egg container management system also help to improve consumer confidence in purchasing more eggs from producers. Keywords: RFID (Radio Frequency Identification), Egg Container, Management System, Traceability System

Poster-11

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

160

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

Using ICT on an Automatic Fertigation System for Growing

Lisianthus in a Protected Culture in Central Taiwan

Ling-Hsi Chen Taichung District Agriculture Research and Extension Station

COA +886-4-8524204

[email protected]

Chia-Chung Chen Department of Bio-industrial Mechatronics Engineering


ABSTRACT

The traditional nutrient solution feeding system was both time and energy inefficient in liquefying and diluting fertilizers with water at each fertigation process. The newly developed PLC type fertigation system manipulates the output volume of five nutrient injectors that inject nutrients into the main irrigation pipeline directly. The nutrients are mixed in the path by the following filter and pipelines before being dripped or micro-sprinkled into the plant root area. The information communication technology (ICT) uses a PC-based fertigation remote control system to connect the office PC and PLC type fertigation system via Ethernet. A farmer can remotely monitor the fertigation system and log data from home or at the office. The experimental field area is about 600 m2 in which were placed 30 drip tubes in 10 planting beds of 38 m in length. The main pipe flow rate is about 83 L/min. The amount of flooding irrigation water was about 419 tons in the first 6 days after Lisianthus transplanting. After that, the fertigation system, operating 11 times, completely consumed 33 tons of water in the following growth stages. This automatic fertigation system facilitates Lisianthus growth while saving labor, fertilizer, and water, thus effectively saving energy and reducing carbon emissions. Keywords: ICT, automatic fertigation, Lisianthus (Eustoma grandiflorum).

Poster-12

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

161

Business Intelligence as Applied to Information Analysis of

Agricultural Production and Marketing

Chao-Chien Chen Intelligent Application Department,

Agricultural Informations Business Division, International Integrated Systems, Inc.

+886-2-23119100#2620 [email protected]

ABSTRACT

According to a survey, 75% of senior executives are often unable to obtain timely and complete reference information for decision-making when developing strategies, thereby missing the opportunity to be the first out the gate in a competitive situation. In a “knowledge economy,” information technology is advancing at a tremendous pace. After huge increases in data storage capacity and operating speed, information overlaps and communication bottlenecks, which are the hallmarks of traditional stand-alone database systems used for performance analysis and statistics, can now be overcome with the use of integrated data warehousing with data-mining capabilities, allowing organizations to rapidly and correctly analyze and understand management performance and decision support, creating new value in the process. Therefore, developments in modern information technology and online applications not only promote the formation of new knowledge value and increase competitive advantage but also change the development pattern of the industry as a whole. Agriculture is different than industrial and commercial enterprises in that it features a multi-distributed environment. Many important databases with online production management systems were developed independently in decentralized locations. In the short run, they are easy to maintain and use, and can be further developed and expanded if necessary depending on the nature of information and urgency of business needs. However, in an overall agricultural environment, information that is scattered, overlapping, incomplete, or lacking in sufficient coverage can make information flow and the integration of applications much more difficult. Data mining is designed with user requirements in mind. Appropriate data are selected from various databases and put together to form a data warehouse. The data selection process involves putting the acquired data through a conversion interface that processes, converts, data mines, interprets, and evaluates the data in a series of steps. By allowing the original fragmented data to be properly integrated and presented through the data warehousing process, these broken pieces of data can be converted into useful information, creating an agricultural knowledge-based economy with information technology at its foundation. Keywords: Business intelligence, marketing information, agricultural information technology, knowledge-based economy, data warehouse

Poster-13

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

162

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

Innovative Application of IT Knowledge Management at the

Taiwan Public Agriculture Sector

Hong-Zong WU Council of Agriculture Executive Yuan

[email protected]

Gour-Tsair Pan Council of Agriculture Executive Yuan

[email protected]

Jane Lin [email protected]

Rei-Row Hu

Knowledge Workers’ Productivity International BU Galaxy Software Services Corp.

[email protected]

Jung-Chia Cheng Knowledge Workers’ Productivity International BU

Galaxy Software Services Corp. +886-2-25867890 # 192

[email protected]

ABSTRACT

Appreciating that knowledge is power, the Taiwan government has been actively promoting the knowledge economy since 2002. The Agricultural Sector understands the importance and value of investing in and utilizing Information Technology to integrate, accumulate and build upon knowledge from the R & D sector's abundant research results in order to stimulate new and ongoing research. Since 2003, steady efforts have been made to digitize the agriculture database to create an “Agriculture Knowledge Management Network System” (AKMNS), with the purpose to assist individual and organizational management, and to accumulate and invest in the knowledge heritage of the organization. Through the analysis of usage logs, at the end of the first quarter of 2012, there were already more than ninety thousand knowledge documents accumulated in the AKMNS. Through the collecting, organizing, sharing, reusing and innovation cycle, the AKMNS helps the Council of Agriculture (COA) improve innovation capacity through ways such as the increase in collaboration of experts and the shortening of training period; the system's collection of knowledge management and behavioral data could also be utilized in the designing of improvement and motivational strategies. Keywords: knowledge management, organizational knowledge, knowledge database

Poster-14

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

163

Establishment of National Pests Management System (NPMS) for the Monitoring, Predicting and Control Decision Making of

Crop Disease and Insect Pest in Republic of Korea

Young-Woong Byeon Knowledge & Information Officer Division

Rural Development Administration Suwon, 441-707, Republic of Korea

+82-31-299-2374 [email protected], [email protected]

Byeong-Yeon Lee

Knowledge & Information Officer Division Rural Development Administration

[email protected]

Yong-Hwan Lee Crop & Animal Division

Rural Development Administration [email protected]

Keun-Seop Shim

Knowledge & Information Officer Division Rural Development Administration

[email protected]

Ui-Jeong Im Knowledge & Information Officer Division

Rural Development Administration [email protected]

ABSTRACT

Rural Development Administration (RDA) have been collecting seasonal occurrence data of crop disease and insect pests (CDP) from all local agricultural extension centres under Provincial governments and then supplies the information of the risk of CDP to farmers. However, CDP may infest the fields because it takes several days from collecting data of CDP occurrence to notifying risk of them. Given this, RDA established National Pest Management System (NPMS) that is website, http://npms.rda.go.kr, for prompt information supply with sequential data of CDP occurrence after survey of local agricultural extension workers in rice, barley, bean, sesame, hot pepper, garlic, onion, radish, Chinese cabbage, apple, pear, citrus, grape, peach and sweet persimmon. Users of NPMS can continuously monitor the real-time occurrence of CDP and utilize the monitoring information for control. In addition, thirty forecasting models of CDP occurrence, including rice leaf blast, in rice, apple, pear, citrus and hot pepper were built in NPMS and users are able to check the potential degree of CDP risk in local web GIS (Geographic Information System). Farmers can also identify the CDP by themselves with illustrated guides to plant pathogens, insects and weeds loaded in NPMS. If farmers could not ascertain CDP species by themselves, they can ask identification of the CDP to taxonomists who registered in NPMS. We developed two applications for smart phone and tablet computer to input the CDP occurrence data and to search illustrated guides to CDP. Farmers and extension workers can easily and promptly obtain the information on occurrence and forecasting of CDP in crops by installing and logging in NPMS PC widget. The function for the monitoring, forecasting and identification of CDP in NPMS would be foundation of early control of CDP and this will contribute to reduce cost of chemical control in the near future. Keywords: Crop disease and insect pests, Monitoring, Forecasting, Web GIS

Poster-15

SEP. 05

WED

SDA

Y, 20

12

SEP. 05

WED

SDA

Y, 20

12

164

Environmental and Economic Assessment of Cotton

in the North China Plain

Nan Ha Institute for Farm Management, Department of Farm Management (410b)

University of Hohenheim 70593 Stuttgart, Germany

Tel: ++49-(0)711-459-22934 [email protected]

Huawen Dai

Institute for Farm Management, Department of Farm Management (410b) University of Hohenheim

[email protected]

Haifeng Xiao College of Economics and Management


Enno Bahrs

Institute for Farm Management, Department of Farm Management (410b) University of Hohenheim

[email protected]

ABSTRACT

China is the largest cotton producer and consumer country in the world. Cotton covers 3% of total cultivated land area while uses 30-40% of all insecticides applied in China. In the North China Plain, the yield of cotton stays in a high level in the last decade due to the steady demand from domestic and international textile industries. In the meantime, cotton as the largest sown cash crop in the North China Plain entails serious environmental issues like greenhouse gas emission, water pollution, soil salinity and degradation. The objectives of this study are to determine environmental and economical input required to produce one tonne of raw cotton in the field and to calculate environmental and economical impacts caused by one tonne cotton production. Carbon footprint and life cycle cost are adopted as methodology in this study. A survey aiming at seventy cotton farm households in southern Hebei Province provides the primary data for analysis. The result indicates that labor and chemical fertilizer are biggest shares in economic and environmental inputs. Keywords: Cotton, Carbon footprint, life cycle cost

Poster-16

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