ANALYSIS OF TRADITIONAL METHODS FOR PREDICTING SOIL PRODUCTIVITY

Authors

  • Khidirova Charos Murodilloevna Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Associate Professor, Ph.D.
  • Davronova Zarnigor Rizamat qizi Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Master's Student

Keywords:

Soil, plant, fertility, productivity, forecasting methods.

Abstract

The article also discusses modern methods of crop yield assessment and forecasting, including the use of regression analysis based on satellite data. Particular attention is paid to short-term and medium-term forecasts that meet the requirements of simplicity, cost-effectiveness and automation. The proposed approaches allow one to take into account the depth of the forecast, which determines the choice of intuitive or formalized methods. The work contributes to the development of tools for sustainable agriculture and the maintenance of soil ecosystem services.

Downloads

Published

2025-01-23

Issue

Vol. 32 (2025)

Section

Articles

License

Creative Commons License

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

How to Cite

ANALYSIS OF TRADITIONAL METHODS FOR PREDICTING SOIL PRODUCTIVITY. (2025). American Journal of Technology and Applied Sciences, 32, 15-20. https://americanjournal.org/index.php/ajtas/article/view/2663