FARM MANAGEMENT INFORMATION SYSTEMS: A CASE STUDY ON A GERMAN MULTIFUNCTIONAL FARM
DOI:
https://doi.org/10.5937/ekoPolj1402441HKeywords:
Management, Farm Information System.Abstract
Accurate and easy to use Farm Management Information Systems (FMIS) are of fundamental importance for a successful operational farm management. However, still today many farmers do not use FMISs for various reasons, like lack of knowledge and the complexity of many available FMISs. In particular for small to medium-sized farms and for multifunctional farms appropriate FMISs hardly exist. This paper aims on the deduction of a concrete FMIS from a general FMIS. The concrete FMIS has to focus on the needs of medium-sized and multifunctional farms. This means that the farmer has to be empowered to allocate the scarce resources of the farm. Therefore, we picked a German farm from the state North Rhine Westphalia as a case-study to apply a system analysis. The case study farm helps to identify and to analyze relevant material and information flows, production processes, and their interconnections and synergies.
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References
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31. Sigrimis, N., Hashimoto, Y., Munach, A., Baerdmaeker, J.D. (1999): Prospects in agricultural engineering in the information age-technological developments for the producer and the consumer, Agricultural Engineering International: CIGR Journal.
32. Sonam, O.P. and Sawhney, B.K. (2014): Development of Software for Research Farm Management System, Development, Vol. 3, no. 1.
33. Sørensen, C.G. and Bochtis, D.D. (2010): Conceptual model of fleet management in agriculture, Biosystems Engineering, Vol. 105, no. 1, pp. 41–50.
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2. BMELV (2004): Stellungnahme des wissenschaftlichen Beirats Agrarpolitik, nachhaltiger Landbewirtschaftung und Entwicklung ländlicher Räume beim Bundesministerium für Verbraucherschutz, Ernährung und Landwirtschaft zu den Beschlüssen des Rates der Europäischen Union zur Reform der Gemeinsamen Agrarpolitik vom 26. Juni 2003, Berichte über Landwirtschaft, Jg. 82, Heft 2.
3. Bryant, L. (1999): Computers on the Farm. Farmers usage patterns and impact on farm management, A report for the Rural Industries Research, RIRDC Publication, no. 99/13.
4. Cerosaletti, P.E., Fox, D.G., Chase, L.E. (2004): Phosphorus Reduction Through Precision Feeding of Dairy Cattle, Journal of Dairy Science, Vol. 87, no. 7, pp. 2314–2323.
5. Doye, D., Jolly, R., Hornbaker, R., Cross, T., King, R.P., Lazarus, W.F., Yeboah, A. (2000): Case Studies - Case Studies of Farmers Use of Information Systems, Review of agricultural economics RAE, Vol. 22, no. 2, pp. 566–585.
6. Enevoldsen, C., Sørensen, J.T., Thysen, I., Guard, C., Gröhn, Y.T. (1995): A Diagnostic and Prognostic Tool for Epidemiologic and Economic Analyses of Dairy Herd Health Management, Journal of Dairy Science, Vol. 78, no. 4, pp. 947–961.
7. Forster, R. (2002): Methodische Grundlagen und praktische Entwicklung eines Systems zur Planung dispositiver Arbeiten in landwirtschaftlichen Unternehmen, Techn. Univ, München, 2002.
8. Fountas, S., Blackmore, S., Ess, D., Hawkins, S., Blumhoff, G., Lowenberg-Deboer, J., Sorensen, C.G. (2005): Farmer experience with precision agriculture in Denmark and the US Eastern Corn Belt, Precision Agriculture, Vol. 6, no. 2, pp. 121–141.
9. Glauben, T., Tietje, H., Weiss, C. (2006): Agriculture on the move: Exploring regional differences in farm exit rates in Western Germany, Jahrbuch für Regionalwissenschaft, Vol. 26, no. 1, pp. 103–118.
10. Grubb, J. (2010): A Low Cost Automated Livestock Tracking System, Appalachian State University, 2010.
11. Horstmann, F., Schulze, B. (2011): Landwirtschaftliche Direktvermarktung: Neue Potenziale durch Social Media? Einsatz eines UAV zur Erfassung von multispektralen Reflexionseigenschaften in Winterweizen, GIL Jahrestagung 2011, pp. 97-100
12. Inderhees, P.G. (2006): Strategische Unternehmensführung landwirtschaftlicher Haupterwerbsbetriebe: Eine Untersuchung am Beispiel Nordrhein-Westfalens: Strategic management of agriculture farming: Analysis at the example of North-Rine Westfalia, Niedersächsische Staats und Universitätsbibliothek, Göttingen.
13. Kristensen, E.S., Halberg, N. (1997): A systems approach for assessing sustainability in livestock farms, In Sørensen, J.T. (Ed.), Proceedings of the fourth international symposium of Livestock Farming systems, EAAP Satellite Symposium., Wageningen Pers, EAAP Publication, no. 89, pp. 16-29.
14. Kuhlmann, F., Brodersen, C. (2001): Information technology and farm management: developments and perspectives, Computers and Electronics in Agriculture, Vol. 30, no. 1, pp. 71–83.
15. Linseisen, H., Spangler, A., Hank, K. (2000): Daten, Datenströme und Software in einem Informationssystem zur teilflächenspezifschen Pflanzenproduktion, Zeitschrift für Agrarinformatik, Vol. 2, pp. 36–42.
16. Magnuson, B., Munro, I., Abbot, P., Baldwin, N., Lopez-Garcia, R., Ly, K., McGirr, L., Roberts, A., Socolovsky, S. (2013): Review of the regulation and safety assessment of food substances in various countries and jurisdictions, Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment, Vol. 30, no. 7, pp. 1147–1220.
17. Malcolm, B. (2004a): Farm Management analysis: a core discipline, simple sums, sophisticated thinking, AFBM Journal, Vol. 1, no. 1, pp. 45-56.
18. Malcolm, B. (2004b): Wheres the economics? The core discipline of farm management has gone missing!, The Australian Journal of Agricultural and Resource Economics, Vol. 48 No. 3, pp. 395–417.
19. McCown, R.L. (2002): Changing systems for supporting farmers decisions: problems, paradigms, and prospects, Agricultural Systems, Vol. 74 No. 1, pp. 179–220.
20. Meyer, A.D., Estrella, R., Jacxsens, P., Deckers, J., van Rompaey, A., van Orshoven, J. (2013): A conceptual framework and its software implementation to generate spatial decision support systems for land use planning, Land Use Policy, Vol. 35, no. 0, pp. 271–282.
21. Mishra, A.K., El-Osta, H.S., Steele, C.J. (1999): Factors affecting the profitability of limited resource and other small farms, Agricultural fnance review, Vol. 59, pp. 77–91.
22. Morgan, W., Cotter, J., Dowd, K. (2012): Extreme Measures of Agricultural Financial Risk, Journal of Agricultural Economics, Vol. 63, no. 1, pp. 65–82.
23. Muhammad, S., Tegegne, F., Ekanem, E. (2004): Factors contributing to success of small farm operations in Tennessee, Age (years), Vol. 6, pp. 15-4.
24. Mußhoff, O., Hirschhauer, N. (2004): Optimierung unter Unsicherheit mit Hilfe stochastischer Simulation und genetischer Algorithmen. dargestellt anhand der Optimierungdes Produktionsprogramms eines Brandenburger Marktfruchtbetriebes, German Journal of Agricultural Economics, Vol. 53, no. 7, pp. 264-279
25. Nause, G. (2003): Zur Entwicklung der in den landwirtschaftlichen Betrieben Deutschlands beschäftigten Arbeitskräfte 1991 bis 2001, Statistisches Bundesamt, Wirtschaft und Statistik, pp. 301–313.
26. Orshoven, J., Gilliams, S., Muys, B., Stendahl, J., Skov-Petersen, H., Deursen, W. (2007): Support of Decisions on Afforestation in North-Western Europe with the AFFORESTsDSS, in Heil, G., Muys, B., Hansen, K. (Eds.), Environmental Effects of Afforestation in North-Western Europe, Plant and Vegetation, Vol. 1, Springer Netherlands, pp. 227–247.
27. Parker, W.J. (2003): Why measures of farm business success matter, Proceedings of the New Zealand Grassland Association, Vol. 65, pp. 199–2004.
28. Rohwer, A. (2010): Die Gemeinsame Agrarpolitik der EU – Fluch oder Segen?, ifo Schnelldienst, no. 63, pp. 27–36.
29. Schmid, E. (2004): Das Betriebsoptimierungssystem FAMOS, Diskussionspapier / Institut für Nachhaltige Wirtschaftsentwicklung, [N.F.],9, Univ. für Bodenkultur Wien Dep. für Wirtschafts- u. Sozialwiss. Inst. für Nachhaltige Wirtschaftsentwicklung, Wien.
30. Schöpe, M. (2005): Die veränderte Rolle der Landwirtschaft zu Beginn unmittelbades
21. Jahrhunderts, ifo Schnelldienst, no. 58, pp. 21–26.
31. Sigrimis, N., Hashimoto, Y., Munach, A., Baerdmaeker, J.D. (1999): Prospects in agricultural engineering in the information age-technological developments for the producer and the consumer, Agricultural Engineering International: CIGR Journal.
32. Sonam, O.P. and Sawhney, B.K. (2014): Development of Software for Research Farm Management System, Development, Vol. 3, no. 1.
33. Sørensen, C.G. and Bochtis, D.D. (2010): Conceptual model of fleet management in agriculture, Biosystems Engineering, Vol. 105, no. 1, pp. 41–50.
34. Villaverde, J.J., Sevilla-Morán, B., Sandín-España, P., López-Goti, C., Alonso-Prados, .L. (2014): Biopesticides in the framework of the European Pesticide Regulation (EC) No. 1107/2009, Pest management science, vol. 70, no. 1, pp. 2–5.
35. Weiss, C., Thiele, H. (2002): Diversifkation und Wachstum landwirtschaftlicher Unternehmen, Agrarwirtschaft, Vol. 51, no. 3, pp. 156–163.
36. Zeddies, J. (2001): Modellierung von Betriebsentwicklung und Nachhaltigkeitszielen, Agrarwirtschaft, Vol. 50, no. 8, pp. 471–479.
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Published
2014-06-30
How to Cite
Husemann, C., & Novković, N. (2014). FARM MANAGEMENT INFORMATION SYSTEMS: A CASE STUDY ON A GERMAN MULTIFUNCTIONAL FARM. Ekonomika Poljoprivrede, 61(2), 441–453. https://doi.org/10.5937/ekoPolj1402441H
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Review articles
