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A systems analysis of information system requirements for an experimental farm

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Abstract

A systems analysis and design of information requirements for an experimental farm is presented. This study was carried out on the university farm (UF) at the University of Copenhagen in Denmark. The UF has several farm sites, many employees and clients, and collects data on the spatial variability of sites for site-specific management, and is responsible for running field trials. Soft and hard system analyses were performed to better understand the information needs and design an information system for the UF. Soft systems methodology was used to analyse the human activities and to identify user requirements, while a hard systems methodology was used to structure the data handling inside the farm office. The resulting information management system (IMS) includes modules for storage, processing and presentation of spatio-temporal data for research trials and site-specific management. A GIS-based farm IMS including the necessary interfaces was implemented and validated by the UF manager and staff. Limitations and constraints to the full implementation of the IMS in an experimental farm are also discussed.

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References

  • Blackmore, B. S., Griepentrog, H. W., Pedersen, M. S., & Fountas, S. (2006). Precision farming in Europe. In A. Srinivasan (Ed.), Handbook of precision farming: Principles and applications (p. 684). Binghamton, NY, USA: The Haworth Press, Inc.

    Google Scholar 

  • Checkland, P. (1981). Systems thinking, systems practice (p. 416). Chichester, The development of a prototype: John Wiley & Sons.

    Google Scholar 

  • Checkland, P. (1999). Soft systems methodology in action (p. 418). Chichester, UK: John Wiley & Sons.

    Google Scholar 

  • De Marco, T. (1979). Structured analysis and system specification (p. 348). Hemel Hempstead, UK: Prentice Hall.

    Google Scholar 

  • Fountas, S., Ess, D., Sorensen, C. G., Hawkins, S., Pedersen, H. H., Blackmore, S., et al. (2004). Farmer experience with precision agriculture in Denmark and US eastern corn belt. Precision Agriculture, 5, 1–21.

    Google Scholar 

  • Fountas, S., Wulfsohn, D., Blackmore, S., Jacobsen, H. L., & Pedersen, S. M. (2006). A model of decision making and information flows for information-intensive agriculture. Agricultural Systems, 87, 192–210. doi:10.1016/j.agsy.2004.12.003.

    Article  Google Scholar 

  • Hansen, J. P. (2005). Supporting local advisory services by dissemination of information over the internet. In Nowoczesne techniki informacyjne w nauce, edukacji i doradztwie dla wsi i rolnictwa, Materialy z konferencji, edited by Dział Oświaty i Współpracy Naukowej Kcdrriow (pp. 1–59). Warzawa, Poland: Centralna Biblioteka Rolnicza,.

  • Jensen, A. L. (2001). Building a web-based information system for variety selection in field crops—objectives and results. Computer and Electronics in Agriculture, 32, 195–211. doi:10.1016/S0168-1699(01)00165-X.

    Article  Google Scholar 

  • Ludwig, K. A., & Hoag, R. (2002). Capturing and reporting electronic data. ACS Symposium Series, 824, 34–39.

    Article  CAS  Google Scholar 

  • The development of a prototype ArcView GIS application for the Centre for Precision Farming at Cranfield University. Master of Science by Research. Cranfield University at Silsoe, UK.

  • Runquist, S., Zhang, N., & Taylor, R. K. (2001). Development of a field-level geographic information system. Computer and Electronics in Agriculture, 31, 201–209. doi:10.1016/S0168-1699(00)00155-1.

    Article  Google Scholar 

  • Skidmore, S. (1997). Introducing systems analysis (p. 280). Oxford, U.K: MacMillan Press Ltd.

    Google Scholar 

  • Tongue, S. (2001). Precision agriculture information system. M.Phil. thesis, University of Newcastle-Upon-Tyne, UK.

  • Ziman, J. (1996). Is Science losing its objectivity? Nature, 382, 751–754. doi:10.1038/382751a0.

    Article  CAS  Google Scholar 

  • Ziman, J. (2000). Real science. What it is and what it Means (p. 399). Cambridge, UK: Cambridge University Press.

    Google Scholar 

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Acknowledgements

We would like to thank the KU UF staff and the researchers who participated in the interviews. We would also like to thank Michael Nørremark for acquiring GPS data for fields and field boundaries. Finally, we thank the editor and the anonymous referees for valuable comments that have led to improvements in the paper.

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Correspondence to S. Fountas.

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Fountas, S., Kyhn, M., Jakobsen, H.L. et al. A systems analysis of information system requirements for an experimental farm. Precision Agric 10, 247–261 (2009). https://doi.org/10.1007/s11119-008-9098-5

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