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ARS Home » Southeast Area » Auburn, Alabama » Soil Dynamics Research » Research » Publications at this Location » Publication #227718
Title: Evaluation of Agricultural Land Suitability: Application of Fuzzy Indicators

Author
item KURTENER, DMITRY - AUBURN UNIVERSITY
item Torbert, Henry - Allen
item KRUEGER, ELENA - AUBURN UNIVERSITY

Submitted to: Lecture Notes in Computer Science
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 4/28/2008
Publication Date: 5/28/2008
Citation: Kurtener, D., Torbert III, H.A., Krueger, E. 2008. Evaluation of Agricultural Land Suitability: Application of Fuzzy Indicators. Lecture Notes in Computer Science. 5072:475-490.

Interpretive Summary: Making effective decisions regarding agricultural land suitability problems are vital to achieve optimum land productivity and to ensure environmental sustainability. The problem of evaluation of agricultural land suitability is considered as a fuzzy modeling task. The application of individual fuzzy indicators provides an opportunity for assessment of land suitability of lands as degree or grade of performance when the lands are used for agricultural purposes. Using composite fuzzy indicator it is possible to obtain weighted average estimation of land suitability. This theoretical technique is illustrated with a simple example.

Technical Abstract: The problem of evaluation of agricultural land suitability is considered as a fuzzy modeling task. The application of individual fuzzy indicators provides an opportunity for assessment of lsand suitability of lands as degree or grade of performance when the lands are used for agricultural purposes. Using composite fuzzy indicator it is possible to obtain weighted average estimation of land suitability. This theoretical technique is illustrated with a simple example.