USE OF FUZZY LOGIC FOR FORECASTING WINTER WHEAT YIELD

The article examines the problem of forecasting the yield of winter wheat depending on the value of the main factors determined during the spring stem formation of the grain crop, as well as depending on the timing of sowing the crop. A fuzzy logic forecasting system based on the Mamdani model is developed in the MATLAB application package. The calculation result is compared with the calculation results based on the regression model.

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Publication Details

Published
2025-05-01
DOI
https://doi.org/10.31521/978-617-7149-86-5-108
Primary Topic
Food Industry and Aquatic Biology
Type
article
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article

USE OF FUZZY LOGIC FOR FORECASTING WINTER WHEAT YIELD

Eugene Borchik
Food Industry and Aquatic Biology
article

USE OF FUZZY LOGIC FOR FORECASTING WINTER WHEAT YIELD

Eugene Borchik
article en

Abstract

The article examines the problem of forecasting the yield of winter wheat depending on the value of the main factors determined during the spring stem formation of the grain crop, as well as depending on the timing of sowing the crop. A fuzzy logic forecasting system based on the Mamdani model is developed in the MATLAB application package. The calculation result is compared with the calculation results based on the regression model.

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USE OF FUZZY LOGIC FOR FORECASTING WINTER WHEAT YIELD — Eugene Borchik · (2025) | TGRS Research Map | TGRS