A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

SICATSatellite, internet and

computer aided field trials for plant production

M.Sc.,PhD student, Ole GreenUniversity of Aarhus, Dept. of Agricultural Engineering, Denmark

Written for presentation at theIAMFE Denmark 2008

The 13th International Conference and exhibitionon mechanization of field experiments

1-3 July 2008, Skejby, Denmark

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Index

Objective Background Methods Results Perspective

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

SICAT-partners

Co-author and project partners Post.Doc. Rasmus Jørgensen, University of

Southern Denmark, Inst. of Chemical Engineering, Biotechnology & Environmental Technology.

Dr. Claus G. Sørensen, University of Aarhus, Dept. of Agricultural Engineering.

Dr. Kristian Kristensen, University of Aarhus, Dept. of Genetics and Biotechnology.

Dr. Iver Thysen, University of Aarhus, Dept. of Agroecology and Environment.

Dr. Lars B. Kjær, AgroTech – Institute for Agro Technology and Food Innovation.

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

SICAT-partners

Company project partners Claas International, LMB Denmark, Tractor

& Harvest specialist, Hinnerup – Denmark

AutoFarm,Agrovo - Denmark

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Objective

To develop software for automated creation of route plans for auto guided agricultural machinery

To develop software able to guide an experimental technician or a machine by use of Global Navigation Satellite Systems –GNSS

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Background

Reduce application overlap Increase operational performance

(reduced stress and increased work quality)

Increase situational awareness Improve repeatability Reduce manpower requirements

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Methods

User-driven approach Based on

User experiences Types of field trails Field trail machinery Commercial machinery

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Methods

Research focus Quality Function Development – QFD International litterateur review Workshop

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Methods

Litterature review Characteristics of plot trials as a standard method “State of the art” within plot trial planning and

execution of treatments

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Methods

Workshop Use an participatory approach to identify/specify

methods and design requirements for automated field trials

Specifically extract user experience and user requirements

WWW.NJF.NU

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Methods

QFD The QFD is a structured way to identify user

requirements. (Chan & Wu 2002)

The litterateur review and the workshop work as tools to extract the user requirements for the initial part of the QFD.

This knowledge will then give the basis for the functionalities that has to be a part of the software

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Equipment

The equipment from

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Equipment

The equipment from

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Equipment

The equipment from

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Equipment

The equipment from

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Equipment

The equipment from

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Equipment

The equipment from

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Results

ROP – Route Planning Module

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Results

ROP

840 plot

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Results

ROP

800 plot

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Results

NAS – Navigation Support Module Hand terminal:

Registrations in tables automatically designed for the specific trial from ex the Nordic Field Trial System

Upload of data in the field via the mobile net to ex the Nordic Field Trial System

Easy navigation in the field

A A R H U S U N I V E R S I T Y

Faculty of Agricultural Sciences Institute of Agricultural Engineering, Horsens, Denmark

Thank you

M.Sc.,PhD student, Ole GreenUniversity of Aarhus, Dept. of Agricultural Engineering, Denmark

Written for presentation at theIAMFE Denmark 2008

The 13th International Conference and exhibitionon mechanization of field experiments

1-3 July 2008, Skejby, Denmark