Abstract
The development of algorithms for agricultural land management based on geographic information systems is a promising direction in the field of precision agriculture. The application of GIS enables the collection, processing, and analysis of geospatial data on land parcels, which facilitates more accurate and efficient planning of agricultural activities. This method contributes to improving the efficiency and sustainability of the agrarian sector, including by optimizing the use of resources and reducing the negative impact on the environment, and contributes to increasing yields and improving the quality of agro-products. The present article is devoted to the development of methodology of planned arrangement of agricultural land using modern geoinformation technologies. The article presents key stages and algorithms necessary for the organization of crop rotation and effective management of agricultural land. Using the Google Earth platform and remote sensing data, the authors analyze the land plot, define goals and objectives, develop a crop rotation scheme, and select crops. The article presents a specific algorithm for delineating the boundaries of agricultural fields, cataloging them, and evaluating the stage of crop rotation. The results of the research allow optimizing the use of land resources and increasing crop yields. The methodology proposed in the article has important practical significance for agricultural enterprises and can be used to improve farmland management.