1. 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

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

10. Methods WWW.NJF.NU 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

11. 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

12. 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

13. 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

14. 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

15. 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

16. 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

17. 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

18. 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

19. Results 840 plot ROP 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

20. Results 800 plot ROP 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

21. 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

22. 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