SICAT
Satellite, internet and computer aided field trials for plant production
M.Sc.,PhD student, Ole Green
University of Aarhus, Dept. of Agricultural Engineering, Denmark
Written for presentation at the
IAMFE Denmark 2008
The 13th International Conference and exhibition on 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

 Objective
 Background
 Methods
 Results
 Perspective
Index
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
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

 ROP
Results
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

 ROP
Results
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 Green
University of Aarhus, Dept. of Agricultural Engineering, Denmark
Written for presentation at the
IAMFE Denmark 2008
The 13th International Conference and exhibition on 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