SICAT Satellite, internet and computer aided field trials for plant production

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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

2 Index Objective Background Methods Results Perspective

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.

4 SICAT-partners Company project partners Claas International, LMB Denmark, Tractor & Harvest specialist, Hinnerup Denmark AutoFarm, Agrovo - 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

6 Background Reduce application overlap Increase operational performance (reduced stress and increased work quality) Increase situational awareness Improve repeatability Reduce manpower requirements

7 Methods User-driven approach Based on User experiences Types of field trails Field trail machinery Commercial machinery

8 Methods Research focus Quality Function Development QFD International litterateur review Workshop

9 Methods Litterature review Characteristics of plot trials as a standard method State of the art within plot trial planning and execution of treatments

10 Methods Workshop Use an participatory approach to identify/specify methods and design requirements for automated field trials Specifically extract user experience and user requirements

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

12 Equipment The equipment from

13 Equipment The equipment from

14 Equipment The equipment from

15 Equipment The equipment from

16 Equipment The equipment from

17 Equipment The equipment from

18 Results ROP Route Planning Module

19 Results ROP 840 plot

20 Results ROP 800 plot

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

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

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