Soil quality assessment using fuzzy modeling
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USDA-ARS National Soil Dynamics Laboratory, 411 South Donahue Drive, Auburn, AL, 36832, USA
Independent Researcher, 11706 Perry St., Westminster, CO, 80031, USA
Agrophysical Research Institute, Grazhdansky pr. 14, 195220 St. Petersburg, Russia
Int. Agrophys. 2008, 22(4): 365-370
Maintaining soil productivity is essential if agriculture production systems are to be sustainable, thus soil quality is an essential issue. However, there is a paucity of tools for measurement for the purpose of understanding changes in soil quality. Here the possibility of using fuzzy modeling theory as a means to address the problem of soil quality assessment is considered. For soil quality assessment, two general types of fuzzy soil quality indicators potentially could be defined. The theoretical consideration of this process is illustrated with an example. Results indicate that the fuzzy multi-attributive approach could be effectively utilized as a tool leading to better understanding soil quality.
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