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ARS Home » Southeast Area » Auburn, Alabama » Soil Dynamics Research » Research » Publications at this Location » Publication #289398

Research Project: Using Agricultural and Industrial Byproducts to Improve Crop Production Systems and Environment Quality

Location: Soil Dynamics Research

Title: Zoning of an agricultural field using a fuzzy indicator model in combination with tool for multi-attributed decision-making

Author
item Kurtener, D - Russian Academy Of Sciences
item Arkhipov, M - Russian Academy Of Sciences
item Krueger, E - Russian Academy Of Sciences
item Torbert, Henry - Allen

Submitted to: European Conference on Precision Agriculture Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 7/7/2013
Publication Date: 7/7/2013
Citation: Kurtener, D., Arkhipov, M., Krueger, E., Torbert III, H.A. 2013. Zoning of an agricultural field using a fuzzy indicator model in combination with tool for multi-attributed decision-making. In: Proceedings of the European Conference on Precision Agriculture, July 7-11, 2013, Catalonia, Spain. CDROM.

Interpretive Summary: Zoning of agricultural fields is an important task for utilization of precision farming technology. This paper extends previously published work entitled “Zoning of an agricultural field using a fuzzy indicator model” to a general case where there is disagreement between groups of managers or experts on the significance of parameters determining the productivity of agricultural crops. A tool for zoning of an agricultural field using a fuzzy indicator model in combination with tool for multi-attributed decision-making (MADM) was developed with software. This paper provides an example of the application of this method for common situation and shows its utility.

Technical Abstract: Zoning of agricultural fields is an important task for utilization of precision farming technology. This paper extends previously published work entitled “Zoning of an agricultural field using a fuzzy indicator model” to a general case where there is disagreement between groups of managers or experts on the significance of parameters determining the productivity of agricultural crops. A tool for zoning of an agricultural field using a fuzzy indicator model in combination with tool for multi-attributed decision-making (MADM) was developed with software. This paper provides an example of the application of this method for common situation and shows its utility.