Advanced Sensors for Field Server

M. Hirafuji, H. Hu and T. Fukatsu

Computational modeling Lab.National Agricultural Research Center

Tsukuba Japan

Requirements and Strategy

Effective sensation

Low energyconsumption

Low cost

Small

Maintenance-free

Calibration-less

Mass-production with system LSI

Combination of sensor-net and conventional

sensors

New sensors by new methods

Data sharedby user’s

collaboration

Internationalcollaboration

Interdisciplinarycollaboration

Effective Sensation

• Temp, RH, Light and Image for all users

• CO2 for farmers and environmental scientists

• UV for outdoor sport players and environmental scientists

• Wetness for housekeepers and farmers

• Soil Moisture for farmers and environmental scientists

• Virus and bacteria for residents, farmers and biological scientists

UV, CO2 and Leaf-wetness sensors

Raindrops

Humidity sensor

Screen

Wetness Sensor

Installed Wetness Sensor

Wetness Detection

Humidity (Raw data)

0

20

40

60

80

100

120

140

160

180

200

0:00:4

3

2:03:4

2

4:03:4

2

6:03:4

2

8:03:4

2

10:03

:42

12:03

:42

14:03

:42

16:03

:42

18:03

:42

20:03

:42

22:03

:42

Relationship CO2 & UV

250

300

350

400

450

500

550

0 20 40 60 80

CO2[ppm]

UV(raw)

Fully Unwired (Cable-less)

Network Architecture

Hotspot

Interconnection between APs

Cable

Conventional Field Servers(Access-point, Continuously work)

Solar-energy Driven Field Servers(Client connection, Intermittent work)

A Result of Field Test

0

10

20

30

40

50

60

70

80

90

9/4 9/14 9/ 24 10/ 4 10/14 10/24 11/3 11/13

RH[％]

Temp[℃]

Battery[V]

Conclusions

• Solar-cell-driven Field Server was developed for sensor-network.

• Leaf-wetness sensors was developed.

• CO2 & UV sensors were tested.

• New sensors can be developed instantly by using Field Monitoring Servers

• 3ch soil moisture sensor is under developing.