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, potato
Soil condition: EM36 etc; resistance, history
Optimal combination to be found out.
• Planning the season
Crop Parcel or nature/ waterbuffer? GAOS parcel-
Tramline planning planning
Exchange tramline instructions
(farmer contractor)
Controlled Traffic Farming
• Network
Standardisation & Calibration of RTK systems
Traffic planning
• Tools & apps
Individual seed/plant
positioning
• Standardisation
Editeelt 4.0
• Machinery
Weeding in the row
Self guidance
tractors / robots
(in a herd)
Variable Rate Application
• Sensors: tested
Satellite Dbase
Drones
• Treatments: isobus connected
AEF 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 & Plants
Supply Chain
Fruits & Vegs
Supply Chain
Meat
Transparency
Tailored Shopping
Experience
Smart Farming Overall Architecture
Greenhouse and Spraying Use Case Pilot
External
Services
Data sources
from sensing and
monitoring
Local
FMS
Spraying,
Greenhouse Services
Meteorological
Service
State and Policy
Information Service
FMIS
E-agriculturist Service
for spraying potatoes,
greenhouse
Cloud FMS
Public
Repository
RegistryCentralized
Cloud Service
11
Machine Breakdown
Service
FIspace platform High Level Architecture
Trial 1
Front-End
FIspace
App Store
Real-time B2B
Collaboration
Core
System & Data Integration
Security, Privacy, and Trust Management
Operating Environment
DevelopmentToolkit
Trial 2
Trial 3
Trial 4
Trial 5
Trial 6
Trial 7
Trial 8
I2ND
IoT
IoC
IoS
S&T
GENERIC ENABLERS
DEVELOPMENT
TOOLKIT
Base Technologies
Validation
1 4
3
5
2
6
8
7
Intelligent Perishable
Goods Logistics
Smart Distribution
and 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

Precision Agriculture and ICT in The Netherlands

  • 1.
    ICT and PrecisionAgriculture developments in The Netherlands Sjaak Wolfert, LEI Wageningen UR Peter Paree, ZLTO Round Table ICT and Precision Farming, Turin, Italy, 24 June 2013
  • 2.
    Sources used  Dutchprojects: ● 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?) - ? €
  • 3.
    ICT becomes akey 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.
  • 4.
    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
  • 5.
  • 6.
    Geo ICT basedplanning & 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, potato Soil condition: EM36 etc; resistance, history Optimal combination to be found out. • Planning the season Crop Parcel or nature/ waterbuffer? GAOS parcel- Tramline planning planning Exchange tramline instructions (farmer contractor)
  • 7.
    Controlled Traffic Farming •Network Standardisation & Calibration of RTK systems Traffic planning • Tools & apps Individual seed/plant positioning • Standardisation Editeelt 4.0 • Machinery Weeding in the row Self guidance tractors / robots (in a herd)
  • 8.
    Variable Rate Application •Sensors: tested Satellite Dbase Drones • Treatments: isobus connected AEF plugfest • Data: data model parcel layers Geo databases: choice.
  • 9.
  • 10.
    SmartAgriFood: 3 usecase domains – 6 pilots Vegetable Production (greenhouse) Arable Farming (spraying) Flowers & Plants Supply Chain Fruits & Vegs Supply Chain Meat Transparency Tailored Shopping Experience
  • 11.
    Smart Farming OverallArchitecture Greenhouse and Spraying Use Case Pilot External Services Data sources from sensing and monitoring Local FMS Spraying, Greenhouse Services Meteorological Service State and Policy Information Service FMIS E-agriculturist Service for spraying potatoes, greenhouse Cloud FMS Public Repository RegistryCentralized Cloud Service 11 Machine Breakdown Service
  • 12.
    FIspace platform HighLevel Architecture Trial 1 Front-End FIspace App Store Real-time B2B Collaboration Core System & Data Integration Security, Privacy, and Trust Management Operating Environment DevelopmentToolkit Trial 2 Trial 3 Trial 4 Trial 5 Trial 6 Trial 7 Trial 8 I2ND IoT IoC IoS S&T GENERIC ENABLERS DEVELOPMENT TOOLKIT Base Technologies Validation
  • 13.
    1 4 3 5 2 6 8 7 Intelligent Perishable GoodsLogistics Smart Distribution and 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
  • 14.
    Thank you foryour attention