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FIWARE Successes in Agriculture
George Beers Wageningen UR
Based on work with Krijn Poppe, Sjaak Wolfert, Cor Verdouw and ...
FIspace
Exploitation
Wageningen in Previous FI-PPP phases
FI-PPP Phase 1 FI-PPP Phase 2 FI-PPP Phase 3
FI-Ware Generic
Ena...
4 Accelerator projects on agri-food
 SmartAgriFood2
● Smart farming (livestock,
arable & horticulture)
● Coordination: WU...
Promising AgriFood cases – examples (1)
ATS - Crop fertilization monitor
Sensors for minerals
France
SMARTSILO
Stock Manag...
Promising AgriFood cases – examples (2)
Happy Cow
Monitoring individual cows
Estrus detection, location, temp. etc
Netherl...
Promising AgriFood cases – examples (3)
Ifarma – FFA
Farm Financial Analysis App
DSS for small farms lacking accurate data...
Promising AgriFood cases – examples (4)
Naaber
Food online from producer
to Consumer
Estonia
Farm Telemetry
Fleet manageme...
Promising AgriFood cases – examples (5)
SDOP – Smart Detection of Pests
Detecting Rodents and Lepidoptera by
deploying aco...
Promising AgriFood cases – examples (6)
TSENSO
Temperature Monitor for Cooled Cargo
Germany
TELENOSTICS
Veterinary device ...
Promising AgriFood cases – examples (7)
SAG Monitoring for Grassland Management
Network of sensors and web and mobile
Appl...
What’s new
ICT in Agriculture in the 1980-ies:
- DSS from research
- Adoption of ICT by Farmers
- Fragmented (regional, se...
Data exchange by ABCDEFs
 Large organisations mostly have gone digital, with ERP
and other systems
 But between organisa...
Farm System Integration – two scenario’s
1. Scenario FIELDSCRIPT:
● Farmer becomes part of one integrated supply chain as ...
Disruptive ICT Trends:
 Mobile/Cloud Computing – smart phones, wearables,
incl. sensors
 Internet of Things – everything...
FI-Ware enabled
Cloud Platform
Cloud
Information
systems
SmartAgriFood: conceptual cloud architecture
sensors
actuators
da...
Thanks for your
attention
george.beers@wur.nl
www.lei.wur.nl
Points for discussion (1/2)
 Ownership of farm data: the farmer, the robot supplier
that puts the data in a database and ...
Points for discussion (2/2)
 Do differences in privacy laws / worries play a role?
 Are issues of cyber-security coming ...
Fiware successes in Agriculture
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Fiware successes in Agriculture

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Fiware successes in Agriculture

  1. 1. FIWARE Successes in Agriculture George Beers Wageningen UR Based on work with Krijn Poppe, Sjaak Wolfert, Cor Verdouw and others, Jan. 2016
  2. 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
  3. 3. 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
  4. 4. Promising AgriFood cases – examples (1) ATS - Crop fertilization monitor Sensors for minerals France SMARTSILO Stock Management in Feed Animal production Spain
  5. 5. 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
  6. 6. 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
  7. 7. Promising AgriFood cases – examples (4) Naaber Food online from producer to Consumer Estonia Farm Telemetry Fleet management for Farm machinery Czech
  8. 8. 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
  9. 9. Promising AgriFood cases – examples (6) TSENSO Temperature Monitor for Cooled Cargo Germany TELENOSTICS Veterinary device for immediate Feacal sample analysis Ireland
  10. 10. 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
  11. 11. 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)
  12. 12. 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?
  13. 13. 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
  14. 14. 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
  15. 15. 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
  16. 16. Thanks for your attention george.beers@wur.nl www.lei.wur.nl
  17. 17. 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 ?
  18. 18. 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?

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