smart agrifood barcelona_feb2013
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Smart Food and Agribusiness: Future Internet as a source for innovation
Krijn J. Poppe
LEI Wageningen UR
e-mail: [email protected]
www.smartagrifood.eu
The agri-food cluster is an important economic European pillar
– With about 40 % of the EU’s land area being farmed, agriculture has a very important impact on the natural environment (Eurostat 2010)
– The food and drink industry is representing 13% of EU manufacturing sector turnover (CIAA 2010, data 2007)
– The EU is the world’s largest food and drink exporter with a share of EU exports to world markets of 17.5% in 2008 (CIAA 2010)
– Share of agri-food logistics in the EU road transport is about 20% (Eurostat/TLN 2008, data 2007)
Global Food Challenge: two times more with two times less
We are here now
F
oo
d p
rod
uct
ion
Ecological Footprint
Current key competition issues / drivers / business models
Transport
Retail brand loyalty (also versus food
service and on line) Small, local
farm support
Reduce costprice Cope with legislation and
paper work
Innovation GRIN technologies
Transport Transport
Input industries Farmer Food processor Retail / consumer Software
Provider
Logistics solution providers
Service concepts
Internationalisation, Consumer driven innovation
Cope with power retail, Sustainability issues
Public issues / consumer concerns (motivates public interest)
Transport
Loyalty Small Cost price GRIN
Transport Transport
Input industries Farmer Food processor Retail / consumer Software
Provider
Logistics solution providers
Service Cope with retail
Sustainability: pollution and waste Health
Food Safety Feed the growing world
How more data contributes to this:
Transport
Loyalty Small Cost price GRIN
Transport Transport
Input industries Farmer Food processor Retail / consumer Software
Provider
Logistics solution providers
Service Cope with retail
Sustainability Health Food Safety Feed the growing world
Precision Farming: better control,
Better management decision
Sophisticated Technology, More advise
Segment products and
input suppliers; Benchmark with
competitors
Consumer decision support (pre- and after
sales)
Better service concepts, e.g. in logistics (less waste) and store
replenishment
Which innovations and new business models are possible ?
Transport
Loyalty Small Cost price GRIN
Transport Transport
Input industries Farmer Food processor Retail / consumer Software
Provider
Logistics solution providers
Service Cope with retail
Sustainability Health Food Safety Feed the growing world
Precision Farming Better management Segment Cons. support Service ++
Open farm management systems with specific apps.
Distance advise on diseases etc. Computer aided advise and
decisions Regionally pooled data analysis
for science and advise
Personalized advise with new apps Online shops
Short supply chains, feed back consumer-producer
Measure, pay sustainability Better Tracing and tracking
Paperless chain, Store
replenishment, Category
management
State of the art and bottlenecks of ICT in agri-food
• Known state of the art regarding ICT
– large amounts of data and fragmented applications
– poor level of integration
– insufficient support for intelligent user support
• Underlying issues:
– Semantic interoperability, data integrity, reliability, trust, scalability, capability to process large amounts of data in global networks.
• This hinders development of the sector on critical issues like food safety, food quality, tracking and tracing, the efficiency in the use of scarce resources, etc.
• The (global) actor network is complex to organize
• Margins are small, competition is large, different business types, public debates, etc.
Common approach such as FI-PPP is needed to meet the challenges
General objectives (Phase I)
To boost the application and use of future internet ICTs in the agri-food sector by:
• identifying and describing the technical, functional and non-functional FI-specifications for experimentation in smart agri-food production as a whole system and in particular for smart farming, smart agri-logistics and smart food awareness
• identifying and developing smart agri-food-specific capabilities and conceptual prototypes, demonstrating critical technological solutions including the feasibility to further develop them in large scale experimentation and validation
• identifying and describing existing experimentation structures and start user community building, resulting in an implementation plan for the next phase
21 Partners from 7 European countries
SmartAgriFood: 3 use case domains – 6 pilots
• Smart Spraying
• Smart Greenhouse Management
• Quality Controlled Logistics in the Flower Supply chain
• Quality Controlled Logistics in the Fruits & Veg. chain
• Tailored Shopping
Experience
• Tracking & Tracing for
Meat Awareness
Farm-level: lack of integration and who cares?
12
Several problems: • Suppliers and clients not interested in data integration • as farms are heterogeneous • Small IT suppliers lack investment capacity • but precision farming (IoT) overloads farmers with data
Network-(hybrid) centric solution is needed !
Vision for FI application potentials Process Controls any (all) ag machines, Intelligence Anywhere in Variable Ad-Hoc-Networks
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Dispatcher is informed about approaching thunderstorm and can trigger new optimization criteria
Vehicles “order” fuel, spare parts, transfer trailers Process controller calculates and broadcasts directives to operators
Central system calculates routing on field and road.
Scenario for a machine breakdown: User Interface in Cabin
Use Scenario - John Deere Machine Breakdown Service Automatic assistance in real time – Notification of hardware malfunction
Use Scenario - John Deere Machine Breakdown Service Automatic assistance in real time – Defect details of hardware malfunction
Use Scenario - John Deere Machine Breakdown Service Automatic assistance in real time – Prepare solution choices
Use Scenario - John Deere Machine Breakdown Service Automatic assistance in real time – Status of settled problems
Small scale pilot – farmer interface (1)
Welcome John! Sign out
Home My profile Mail(3) Search Engine
You!: Yes Nick, I am fine!!! I called Jack Bayer for spraying my crops. He is awesome!!! Nick: Jack Bayer? ?? How did you find him? You!: You go to the search engine and ask for spray contractors in the neighborhood. I checked the ratings and I decided to call him. Man, he helped me a lot. You should call me RIGHT NOW! Jack: Thanks for the advice! You already know that the last disease ruined my
Aaron H. Adele W. Agatha C. Allan G. Alex L. Alton K. Betty F. Brand S. Candy C. Carmel C. Celia G. Charles E. Clark U. Dale W. Daniel F. Daniel G. Daniel R. Dixon R. Elliot B. Celia G. Charles E. Clark U.
Community My friends
Send You are right!!!
Hot News!
URGENT!!! Soil Humidity is low. You should irrigate your…
My farms
Hot News!!! The National Milk Quota
for the year 20011 is….
Subsides are given to …
My friends
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Small scale pilot – farmer interface (2)
Welcome John, your friends are waiting for you!
Sign out
Home My profile Mail(3) Search Engine Hot News!
URGENT!!! Soil Humidity is low. You should irrigate your..
My farms
My friends
Add friend
Friends Alarms
Community Blog
Area Statistics
Chat
History
Privacy
LIST of my friends Aaron Hemilton GO!!!
Friend Request(2)
URGENT!!! Aphids has
infected Jack’s crop. He … URGENT!!!
Aphids has infected Nicks
crop. He …
Farming Issues
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Smart Agri-Logistics: Diverse and Dynamic Supply Chains
Illustrative example of a meat supply chain (source: GS1)
Vision for FI Application Potentials: Critical Features
Logistics Intelligence
Logistics Connectivity
Real-time Virtualization
5.0
5.5
6.0
6.5
7.0
0 10 20 30 40 50 60 70 80 90 100
Glycongen concn. (µmol glucose equiv./g)
Ult
imate
pH
DFD
normal
normal or PSE
acid
Simulated screens to demonstrate the concept
Cloud Event Management System
Location A Location B
Virtual
Plant
Virtual
Location A
Virtual
Location B
Environment
update Plant
location update
Environment
update
• Overview of conditions
• Overview of cultivars in docking area
• Quality of cultivars
• Appropriateness of storing conditions for cultivars present
• Alarms for problem notification
Mock-up quality monitoring screen
• Historic quality trajectory based on measurements
• Simulated quality based on decay models
• Alarms for expected quality problems
• Advices for interventions
Mock-up quality simulation screen
User interface
1. Search and select objects
2. Location of the object
3. Environmental conditions
4. Representative picture of the object
5. Historic trajectory of environmental conditions
6. Expected quality trajectory
1. 3.
2.
4.
5.
6.
Live demo
Architecture of the implemented prototype
Food Awareness
Interoperability, semantics, big
amounts of data
Open platforms, anonymization, security/privacy
Mobility, device independence,
recommendations, social networking
IoT, open infrastructure
Open platforms
Vision for FI application potentials hybrid network architecture
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Aspects of the super scenario
agri-food supply chain stakeholders
functionalities for information exchange and collaboration support
enabling technologies
enabling policies
Detailed super scenario aspects
farms trade/logistics retail consumers society
service discovery, configuration, and delivery
identification certification product information business relations
FI, generic enablers, and standards
Internet of Things semantic
technologies image recognition
location technologies
information sharing and interoperability in the cloud
common ontologies trust, privacy, and security
Generic and SmartAgriFood specific Enablers
Product information services
Certification services
Identification services
Business relations services
Super scenario: generic services
Super scenario: generic services
How will the super scenario work?
Business Relations Service enables collaboration
Product Information Service enables information exchange
farms retail logistics
data bases data bases data bases
GS1 and other standards
semantic technologies
consumer
tailored
info
rmatio
n ;
exceptio
n n
otificatio
n
fee
db
ack
to e
nh
ance
q
ual
ity
and
de
liver
y
business arrangements
services
End-2-End Visibility Collaboration & Communication
High-Quality Customer Applications
New Services & Apps
Consultants
Forwarder
Production Plants
Carriers
Ports
Customs
Banks
Insurances Authorities
Consumers Features
Machine-2-Machine Communication
To be continued in cSpace (under negotiation)
Agri-Food, Transport and Logistics: • EU turnover: 1,500 billion € • Efficiency: 148-220 billion € savings • Sustainability: 26.5% of CO2 emissions
Future Internet will facilitate: ■ … seamless cross-organizational
collaboration (information exchange, communication,
coordination of activities) ■ …unprecedented transparency,
visibility and control of processes (using Internet-connected sensors and IoT devices)
■ …rapid, easy, low cost development and deployment of customized solutions (apps and services)
■ …agile formation of business networks and ecosystems (social networks and app/service markets)
To conclude
• The SmartAgriFood project will
– boost the application and use of future internet ICTs in the agri-food sector
– increase the competiveness of the European agri-food cluster and related (ICT) service industry in order to meet the global challenges for food production
– enhance the dialogue between the user community and the ICT community to identify, develop and test new concepts for better exploitation of the Future Internet in the agri-food sector
