SmartAgriFood

1. FIWARE Successes in Agriculture
George Beers Wageningen UR
Based on work with Krijn Poppe, Sjaak Wolfert, Cor Verdouw and others, Jan. 2016

2. FIspace
Exploitation
Wageningen in Previous FI-PPP phases
FI-PPP Phase 1 FI-PPP Phase 2 FI-PPP Phase 3
FI-Ware Generic
Enablers
SmartAgriFood1
-Smart Farming
-Smart Agri-Logistics
-Smart Food
Awareness
FIspace platform
FInest
FI-Ware Generic
Enablers
App store
SmartAgriFood2
-Smart farming
-Arable
-Livestock
-Horticulture
50 Apps (4 M€)
• Embedded and
tested by users
• Business plans
XIFI
Infrastructures
Large-scale
experimentation
Large-scale expansionUse case scenarios &
conceptual prototypes
Call 3: dedicated to
FI-PPP (> 1.5 M€)
• Scientific-technical
support
• Test beds throughout
Europe
ICT-AGRI ERA-NET1
ICT-AGRI ERA-NET2
(2014-2018)
• Further expansion
Capabilities Needs
Use Test
Instantiate
FI-ware extension
and usage (1.9)
Support
Use
ICT & Robotics in
agriculture
2010 2016

4. 4 Accelerator projects on agri-food
 SmartAgriFood2
● Smart farming (livestock,
arable & horticulture)
● Coordination: WUR
● Open call: 4M€
 FInish
● Agri-Logistics
● Coordination: ATB/WUR
● Open call: 5 M€
 Fractals
● Smart Farming in Balkan
● Coordination: Serbia/Greece
● Open call: 5.5 M€
 SpeedUp_Europe
● 1/3 Agrobusiness Park (DE)
● Coordination: DE/DK
● Open call 1.9 M€
Total in agri-food:
~ 16 M€ in 2 years
~ 150 Apps

5. Promising AgriFood cases – examples (1)
ATS - Crop fertilization monitor
Sensors for minerals
France
SMARTSILO
Stock Management in Feed
Animal production
Spain

6. Promising AgriFood cases – examples (2)
Happy Cow
Monitoring individual cows
Estrus detection, location, temp. etc
Netherlands
Open PD
Open Community on Plant Pest
and Disease
Portugal

7. Promising AgriFood cases – examples (3)
Ifarma – FFA
Farm Financial Analysis App
DSS for small farms lacking accurate data
Greece
GroCircle
Climate Control Solutions
for Hydroponics
Sensors and Services
UK

8. Promising AgriFood cases – examples (4)
Naaber
Food online from producer
to Consumer
Estonia
Farm Telemetry
Fleet management for
Farm machinery
Czech

9. Promising AgriFood cases – examples (5)
SDOP – Smart Detection of Pests
Detecting Rodents and Lepidoptera by
deploying acoustic detectors in the soil
and infrared video feeds from drones
Serbia
FOOODER
Tinder for Fine Foods
Belgium

10. Promising AgriFood cases – examples (6)
TSENSO
Temperature Monitor for Cooled Cargo
Germany
TELENOSTICS
Veterinary device for immediate
Feacal sample analysis
Ireland

11. Promising AgriFood cases – examples (7)
SAG Monitoring for Grassland Management
Network of sensors and web and mobile
Applications to optimize nitrogen in the soil
UK
Drugtrack
Apps for Tracking Livestock and
Veterinary Drugs
UK

12. What’s new
ICT in Agriculture in the 1980-ies:
- DSS from research
- Adoption of ICT by Farmers
- Fragmented (regional, sectoral, farm types)
- Awareness of Farm environment
Supply Chain
Service Providers
Government
Exchange of data:
Reference Modelling (Branch Information Models)

13. Data exchange by ABCDEFs
 Large organisations mostly have gone digital, with ERP
and other systems
 But between organisations (especially with SMEs) data
exchange and interoperability is still very poor
 While more data exchange for collaboration and business
process control in the chain is needed
● As data need to be combined to create value
● The better we exchange data, the less disruptive it is
for current business models and organisations
There is a need for ABCDEFs:
Agri-Business Collaboration & Data Exchange Facility
Proprietary/closed or open ABCDEFs?

14. Farm System Integration – two scenario’s
1. Scenario FIELDSCRIPT:
● Farmer becomes part of one integrated supply chain as a
franchiser/contractor with limited freedom
● one platform for potato breeder, machinery company, chemical
company, farmers and french fries processor.
2. Scenario OPEN COLLABORATION:
• Market for services, apps and data
• Common, open platform(s)
F
F

15. Disruptive ICT Trends:
 Mobile/Cloud Computing – smart phones, wearables,
incl. sensors
 Internet of Things – everything gets connected in the
internet (virtualisation, M2M, autonomous devices)
 Location-based monitoring - satellite and remote sensing
technology, geo information, drones, etc.
 Social media - Facebook, Twitter, Wiki, etc.
Big Data - Web of Data, Linked Open Data
High Potential for unprecedented innovations!
everywhere
anything
anywhere
everybody

16. FI-Ware enabled
Cloud Platform
Cloud
Information
systems
SmartAgriFood: conceptual cloud architecture
sensors
actuators
data sources
(‘Internet of Things’)
local
Information systems
App store
Services
Spraying Advisory
Services
Meteorological
Service
State and Policy
Information Service
Consumer Food
safety service
E-agriculturist Service
for spraying potatoes
Machine Breakdown
Service
Transport
User’s
devices
Other
sources

17. Thanks for your
attention
george.beers@wur.nl
www.lei.wur.nl

18. Points for discussion (1/2)
 Ownership of farm data: the farmer, the robot supplier
that puts the data in a database and refines it, the
accountant that has an IPR on its report?
 Liability: if it goes wrong when Dutch software is used by
a Belgian contractor in spraying potatoes in N.France with
a wrong update of the French pesticide regulations to
instruct a German spraying machine ?
 Business model (who pays what?) and governance of
ABCDEF platform:
● Farmers / cooperatives owned, pay by use?
● Neutral organisation (a Data / Platform cooperative?)
● Commercially run by an ICT company?
● Governmental infrastructure ?

19. Points for discussion (2/2)
 Do differences in privacy laws / worries play a role?
 Are issues of cyber-security coming up?
 Can cooperatives deal with advanced ICT-using members
and paper-oriented farmers at the same time?
 What ABCDEFs to copy from the USA, what to develop in
Europe?
Is there a need for action by farmers/cooperatives?