ANALYSIS AND MODELING OF NATURAL PROCESSES OF AGRICULTURAL LANDS USING GEOGRAPHIC INFORMATION SYSTEMS AND ARTIFICIAL INTELLIGENCE TECHNOLOGIES

The article discusses methods of collecting, processing, and analyzing spatial data using AI and GIS technologies, as well as their role in yield forecasting, soil condition monitoring, and optimizing the use of resources (water, fertilizers, energy). Special attention is given to automating the process of digitizing agricultural maps and constructing digital elevation models that contribute to more precise management of agrolandscapes. The research results highlight that the integration of AI and GIS in the agricultural sector opens new opportunities for sustainable agricultural development, increasing productivity, and the rational use of natural resources.