1. 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 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

2. 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

3. 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.

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

10. 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

11. 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

12. 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

13. 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

14. 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

15. 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

16. 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

17. 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

18. 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

19. 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

20. 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

21. 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

22. 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