MATHEMATICAL MODELING IN AGRICULTURE BASICS

Authors

  • Bustonova Gulchekhra Berkinboуеvna Teacher of the Department of Information Systems and Technologies, Tashkent State Agrarian University, TSAU, Uzbekistan Author

Keywords:

regression model, prediction, productivity

Abstract

This article discusses the preliminary assessment of agricultural productivity indicators. mathematician regression the role of models, methods of their construction and practical application the application of linear and nonlinear regression models is analyzed. In particular, the mathematical foundations of linear and nonlinear regression models and their importance in drawing statistical conclusions are illustrated through examples. A visual evaluation of the model is also shown through graphical representations.

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Published

2025-05-29

Issue

Vol. 3 No. 05 (2025): WEJMESM

Section

Articles

License

Copyright (c) 2025 Western European Journal of Modern Experiments and Scientific Methods

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

MATHEMATICAL MODELING IN AGRICULTURE BASICS. (2025). Western European Journal of Modern Experiments and Scientific Methods, 3(05), 74-79. https://westerneuropeanstudies.com/index.php/1/article/view/2535