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FIWARE Successes in Agriculture
George Beers Wageningen UR
Based on work with Krijn Poppe, Sjaak Wolfert, Cor Verdouw and others, Jan. 2016
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-scaleexperimentation
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
Instantiate
ICT & Robotics inagriculture
2010 2016
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
Promising AgriFood cases – examples (1)
ATS - Crop fertilization monitor
Sensors for mineralsFrance
SMARTSILO
Stock Management in FeedAnimal productionSpain
Promising AgriFood cases – examples (2)
Happy Cow
Monitoring individual cowsEstrus detection, location, temp. etc Netherlands
Open PD
Open Community on Plant Pestand DiseasePortugal
Promising AgriFood cases – examples (3)
Ifarma – FFA
Farm Financial Analysis AppDSS for small farms lacking accurate dataGreece
GroCircle
Climate Control Solutions for HydroponicsSensors and ServicesUK
Promising AgriFood cases – examples (4)
Naaber
Food online from producer to Consumer
Estonia
Farm Telemetry
Fleet management for Farm machineryCzech
Promising AgriFood cases – examples (5)
SDOP – Smart Detection of Pests
Detecting Rodents and Lepidoptera bydeploying acoustic detectors in the soil and infrared video feeds from dronesSerbia
FOOODER
Tinder for Fine FoodsBelgium
Promising AgriFood cases – examples (6)
TSENSO
Temperature Monitor for Cooled CargoGermany
TELENOSTICS
Veterinary device for immediate Feacal sample analysisIreland
Promising AgriFood cases – examples (7)
SAG Monitoring for Grassland Management
Network of sensors and web and mobileApplications to optimize nitrogen in the soilUK
Drugtrack Apps for Tracking Livestock and Veterinary DrugsUK
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 ChainService ProvidersGovernment
Exchange of data:Reference Modelling (Branch Information Models)
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 organisationsThere is a need for ABCDEFs: Agri-Business Collaboration & Data Exchange Facility
Proprietary/closed or open ABCDEFs?
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
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
FI-Ware enabled Cloud Platform
CloudInformation
systems
SmartAgriFood: conceptual cloud architecture
sensorsactuators
data sources(‘Internet of Things’)
localInformation 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
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 ?
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?
