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

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

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

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  1. SICATSatellite, internet and computer aided fieldtrials 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 • 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

  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 • 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

  20. 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

  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

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