Precision Agriculture and ICT in The Netherlands
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Transcript of Precision Agriculture and ICT in The Netherlands
ICT and Precision Agriculture developments in The Netherlands
Sjaak Wolfert, LEI Wageningen UR
Peter Paree, ZLTO
Round Table ICT and Precision Farming, Turin, Italy, 24 June 2013
Sources used
Dutch projects:
● KodA – from knowledge to practice for arable farming (2006-2010) – 8 M€
● PPL – program on Precision Agriculture (2010-2013) – 12 M€
● MoveRTK
EU projects
● agriXchange (2010-2012) – 1.3 M€
● SmartAgriFood (2011-2013) – 7.3 M€
● FIspace (2013-2015) – 20 M€
● Unifarm (2012-2015?) - ? €
ICT becomes a key driver for innovation
Location-based monitoring and service delivery through GNSS
Internet of Things (IoT) – everything/everyone gets connected, M2M communication leading to autonomously communicating devices and virtualization of objects and processes
Data explosion (Big Data), linked open data and the potential of open innovation
Cloud services and app stores – the Internet is everywhere (smart phones, embedded networked devices, etc.) with new possibilities for service delivery, augmented reality, etc.
Social media – more direct and instant interaction between stakeholders potentially leading to new market opportunities and channels, co-innovation, etc.
Roadmap for solutions: two parallel tracks
Organizational:• Business in the lead• Information Exchange &
Standardization
Technical:• Business process management • Service-oriented architecture
Based on the Future Internet
New Generation Information Systems
Coherence: management cycle
Geo ICT based planning & control(new in red) Reduction 7-10%
• Comply with legislation; Open data Geo Input, development: year round register (private) Open map-layers: agri parcels, crop parcels, etc.
• Value of the parcels (production capacity, alternatives)Production Value: weighing wheat, potatoSoil condition: EM36 etc; resistance, historyOptimal combination to be found out.
• Planning the seasonCrop Parcel or nature/ waterbuffer? GAOS parcel-Tramline planning planningExchange tramline instructions (farmer contractor)
Controlled Traffic Farming
• NetworkStandardisation & Calibration of RTK systemsTraffic planning
• Tools & appsIndividual seed/plant positioning
• StandardisationEditeelt 4.0
• MachineryWeeding in the rowSelf guidance tractors / robots (in a herd)
Variable Rate Application
• Sensors: testedSatellite DbaseDrones
• Treatments: isobus connectedAEF plugfest
• Data: data model parcel layers
Geo databases: choice.
Use Case modelling
SmartAgriFood: 3 use case domains – 6 pilots
Vegetable Production
(greenhouse)
Arable Farming(spraying)
Flowers & PlantsSupply Chain
Fruits & VegsSupply Chain
Meat Transparency
Tailored Shopping Experience
Smart Farming Overall Architecture Greenhouse and Spraying Use Case Pilot
External Services
Data sources from sensing and
monitoring
LocalFMS
Spraying, Greenhouse Services
Meteorological Service
State and Policy Information Service FMIS
E-agriculturist Service for spraying potatoes,
greenhouse
Cloud FMS
PublicRepository
RegistryCentralizedCloud Service
11
Machine Breakdown Service
FIspace platform High Level Architecture
Trial 1Front-End
FIspace App Store
Real-time B2B Collaboration
Core
System & Data Integration
Security, Privacy, and Trust Management
Operating Environment
Dev
elop
men
t Too
lkit
Trial 2
Trial 3
Trial 4
Trial 5
Trial 6
Trial 7
Trial 8
I2NDIoTIoCIoSS&T
GENERIC ENABLERS
DEVELOPMENT TOOLKIT
Base Technologies
Validation
1 4
3
5
2
6
8
7
Intelligent PerishableGoods LogisticsSmart Distributionand Consumption
Farming in the Cloud
Use Case Trial Experimentation Sites
1. Crop Protection Information Sharing
2. Greenhouse Management & Control
3. Fish Distribution and (Re-) Planning
4. Fresh Fruit and Vegetables Quality Assurance
5. Flowers and Plants Supply Chain Monitoring
6. Meat Information Provenance
7. Import and Export of Consumer Goods
8. Tailored Information for Consumers
Thank you for your attention