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