1. Smart Food and Agribusiness:
Future Internet as a source for innovation
Krijn J. Poppe
LEI Wageningen UR
e-mail: krijn.poppe@wur.nl
www.smartagrifood.eu
2. 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)
3. Global Food Challenge:
two times more with two times less
Food production
We are here now
Ecological Footprint
4. Current key competition issues / drivers / business models
Logistics
Farmer solution Food processor
Input industries Software Retail / consumer
Provider providers
Transport Transport Transport
Retail brand
Innovation GRIN Service loyalty (also
technologies concepts versus food
service and on
Small, local line)
farm
support
Internationalisation,
Reduce costprice
Consumer driven innovation
Cope with legislation and
Cope with power retail,
paper work
Sustainability issues
5. Public issues / consumer concerns (motivates public interest)
Logistics
Farmer solution Food processor
Input industries Software Retail / consumer
Provider providers
Transport Transport Transport
GRIN Small Cost price Service Cope with retail Loyalty
Sustainability: pollution and waste Health
Feed the growing world Food Safety
6. How more data contributes to this:
Logistics
Farmer solution Food processor
Input industries Software Retail / consumer
Provider providers
Transport Transport Transport
GRIN Small Cost price Service Cope with retail Loyalty
Feed the growing world Sustainability Food Safety Health
Segment
Precision Farming:
products and
better control,
input suppliers; Consumer
Better management
Benchmark with decision support
decision
competitors (pre- and after
Sophisticated sales)
Technology,
Better service concepts, e.g. in
More advise
logistics (less waste) and store
replenishment
7. Which innovations and new business models are possible ?
Logistics
Farmer solution Food processor
Input industries Software Retail / consumer
Provider providers
Transport Transport Transport
GRIN Small Cost price Service Cope with retail Loyalty
Feed the growing world Sustainability Food Safety Health
Precision Farming Better management Service ++ Segment Cons. support
Open farm management Measure, pay Personalized advise
Paperless chain,
systems with specific apps. sustainability with new apps
Store
Distance advise on diseases etc. Better Tracing Online shops
replenishment,
Computer aided advise and and tracking
Category
decisions management
Regionally pooled data analysis Short supply chains, feed
for science and advise back consumer-producer
8. 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
9. 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
11. SmartAgriFood: 3 use case domains – 6 pilots
• Quality Controlled Logistics in the Flower Supply chain
• Quality Controlled Logistics in the Fruits & Veg. chain
• Tailored Shopping
Experience
• Tracking & Tracing for
Meat Awareness
• Smart Spraying
• Smart Greenhouse Management
12. Farm-level: lack of integration and who cares?
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 !
12
13. Vision for FI application potentials
Process Controls any (all) ag machines,
Intelligence Anywhere in Variable Ad-Hoc-Networks
Vehicles “order” fuel,
spare parts, transfer
trailers
Process controller
calculates and
broadcasts directives
to operators
Dispatcher is informed about
approaching thunderstorm and
can trigger new optimization
criteria
Central system calculates
routing on field and road.
13
14. Scenario for a machine breakdown: User Interface in Cabin
15. Use Scenario - John Deere Machine Breakdown Service
Automatic assistance in real time – Notification of hardware malfunction
16. Use Scenario - John Deere Machine Breakdown Service
Automatic assistance in real time – Defect details of hardware malfunction
17. Use Scenario - John Deere Machine Breakdown Service
Automatic assistance in real time – Prepare solution choices
18. Use Scenario - John Deere Machine Breakdown Service
Automatic assistance in real time – Status of settled problems
19. Small scale pilot – farmer interface (1)
Welcome John! Sign out
Home My profile Mail(3) Hot News! Search Engine
My farms
Hot News!!!
The National Milk Quota
for the year 20011 is…. My friends
Subsides are given to …
Community My friends
Aaron H.
You!: Yes Nick, I am Adele W. URGENT!!!
fine!!! I called Jack Agatha C.
Bayer for spraying my Allan G. Soil Humidity is
crops. He is Alex L. low. You should
awesome!!! Alton K. irrigate your…
Nick: Jack Bayer? ?? Betty F.
How did you find Brand S.
him? Candy C.
You!: You go to the Carmel C.
search engine and Celia G.
ask for spray Charles E.
contractors in the Clark U.
neighborhood. I Dale W.
checked the ratings Daniel F.
and I decided to call Daniel G.
him. Man, he helped Daniel R.
me a lot. You should Dixon R.
call me RIGHT NOW! Elliot B.
Jack: Thanks for the Celia G.
advice! You already Charles E.
know that the last Clark U.
disease ruined my
You are right!!! Send
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20. Small scale pilot – farmer interface (2)
Welcome John, Sign out
your friends are Home My profile Mail(3) Hot News! Search Engine
waiting for you!
My farms
My friends
LIST of my friends
Aaron Hemilton GO!!!
URGENT!!!
Aphids has
infected Jack’s
Add friend crop. He … URGENT!!!
URGENT!!!
Soil Humidity is
Friend Request(2) Aphids has low. You should
infected Nicks irrigate your..
crop. He …
Friends Alarms
Community Blog
Farming Issues
Area Statistics
Chat
History
Privacy
20
24. Cloud Event Management System
Virtual Virtual Virtual
Location A Plant Location B
Environ
Environ ment
Location Ament Location B
update
update
Plant
location
update
25. Mock-up quality monitoring screen
• Overview of conditions
• Overview of cultivars in
docking area
• Quality of cultivars
• Appropriateness of
storing conditions for
cultivars present
• Alarms for problem
notification
26. Mock-up quality simulation screen
• Historic quality trajectory
based on measurements
• Simulated quality based
on decay models
• Alarms for expected
quality problems
• Advices for interventions
27. Live demo
User interface
1. Search and select
objects
2.
2. Location of the
1. object
3. 4.
3. Environmental
conditions
5.
4. Representative
picture of the
object
5. Historic trajectory
6. of environmental
conditions
6. Expected quality
trajectory
29. Open platforms,
Food Awareness anonymization,
security/privacy
IoT, open
infrastructure
Mobility, device
independence,
recommendations,
social networking
Interoperability, Open
semantics, big platforms
amounts of data
30. Vision for FI application potentials
hybrid network architecture
30
31. Aspects of the super scenario
agri-food supply chain stakeholders
functionalities for information exchange and collaboration support
enabling technologies
enabling policies
32. Detailed super scenario aspects
farms trade/logistics retail consumers society
service discovery, configuration, and delivery
identification business relations product information certification
information sharing and interoperability in the cloud
FI, generic enablers, and standards
location semantic
Internet of Things image recognition
technologies technologies
common ontologies trust, privacy, and security
33. Super scenario: generic services
Identification Certification
services services
Business relations Product information
services services
Generic and SmartAgriFood specific Enablers
35. How will the super scenario work?
Product Information Service enables information
exchange
consumer
exception notification
tailored information ;
feedback to enhance
quality and delivery
semantic technologies
data bases data bases data bases
GS1 and other standards
farms logistics retail
business
services
arrangements
Business Relations Service enables collaboration
36. To be continued in cSpace (under negotiation)
Forwarder
Future Internet
Consultants
Carriers
will facilitate:
■ … seamless cross-organizational
Production collaboration (information
Plants Consumers exchange, communication,
Features coordination of activities)
New Services & Apps
Collaboration & Communication ■ …unprecedented transparency,
End-2-End Visibility
Machine-2-Machine Communication visibility and control of processes
(using Internet-connected sensors and
High-Quality Customer Applications
Banks IoT devices)
Ports
Insurances ■ …rapid, easy, low cost
Customs Authorities
development and deployment of
customized solutions (apps and
services)
■ …agile formation of business
Agri-Food, Transport and Logistics: networks and ecosystems (social
• EU turnover: 1,500 billion € networks and app/service markets)
• Efficiency: 148-220 billion € savings
• Sustainability: 26.5% of CO2 emissions
37. 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
38. Thank you for your attention!
More information:
www.smartagrifood.eu