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United States Department of Agriculture

Agricultural Research Service

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

Location: National Soil Dynamics Laboratory

Title: Definition of zones with different levels of productivity within an agricultural field using fuzzy modeling

Authors
item Kurtener, Dmitry -
item Yakushev, Yakushev -
item Torbert, Henry
item Krueger, Elena -

Submitted to: Journal of Agricultural Science
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: March 9, 2013
Publication Date: April 15, 2013
Repository URL: http://handle.nal.usda.gov/10113/56925
Citation: Kurtener, D., Yakushev, Y., Torbert III, H.A., Krueger, E. 2013. Definition of zones with different levels of productivity within an agricultural field using fuzzy modeling. Journal of Agricultural Science. 5(5):176-181.

Interpretive Summary: Zoning of agricultural fields is an important task for utilization of precision farming technology. One method for the definition of zones with different levels of productivity is based on fuzzy indicator model. Fuzzy indicator model for identification of zones with different levels of productivity is based on two general types of fuzzy indicators: the individual fuzzy indicators (IFI) type and the combined fuzzy indicators (CFI) type. The theoretical considerations are illustrated with this example based on data collected from a precision agriculture study in central Texas, USA. Soil samples were collected at different points, taking into account the actual longitude and latitude for each of these points. Because the experimental data contained information about several parameters only {grain yield, total carbon (C), total nitrogen (N) and available phosphorus (P)}, we were forced to restrict our calculations. Using the author’s computer program, fuzzy indicators IFI/CFI were calculated for each zone separately. Utilizing results of calculations maps of zones with different levels of productivity are shown.

Technical Abstract: Zoning of agricultural fields is an important task for utilization of precision farming technology. One method for the definition of zones with different levels of productivity is based on fuzzy indicator model. Fuzzy indicator model for identification of zones with different levels of productivity is based on two general types of fuzzy indicators: the individual fuzzy indicators (IFI) type and the combined fuzzy indicators (CFI) type. The theoretical considerations are illustrated with this example based on data collected from a precision agriculture study in central Texas, USA. Soil samples were collected at different points, taking into account the actual longitude and latitude for each of these points. Because the experimental data contained information about several parameters only {grain yield, total carbon (C), total nitrogen (N) and available phosphorus (P)}, we were forced to restrict our calculations. Using the author’s computer program, fuzzy indicators IFI/CFI were calculated for each zone separately. Utilizing results of calculations maps of zones with different levels of productivity are shown.

Last Modified: 8/29/2014
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