Technology for determining the optimal use of problematic natural resource management objects based on geoinformation management for the purpose of spatial development of the territory

The digital transformation of the agro-industrial sector began in the early 2000s. During this time, many approaches have been developed to monitor the condition of agricultural land, automate crop care, high-precision fertilization, monitor animal health, and optimize the operation of agricultural machinery. Nevertheless, the inventory of agricultural land has not been carried out for more than 30 years and, therefore, it is relevant to develop methods for assessing problematic environmental management facilities in order to determine the directions of their further application. The main goal of introducing precision farming technologies is to change the decision-making process and, as a result, to significantly improve the management efficiency of agricultural enterprises, reduce environmental pollution, increase agricultural producers' incomes and improve product quality. Aim. To develop a universal intelligent module for the UralGIS-Agro information system, which would allow detecting problematic environmental management objects based on satellite images. Materials and methods. Methods of analyzing images obtained using remote sensing of the Earth (satellite images) were used to detect problematic environmental management objects. In particular, the developed methodology makes it possible to analyze the indices (vegetation, water) and, based on the values obtained, a decision is made on the condition of the facility. Results. The resulting module is universal. Depending on the input data about the contours of the objects and the calculated indexes, it allows you to get an analysis of the object in the required context. The economic efficiency of the developed system is calculated. Conclusion. Based on the results of the module, problematic environmental management facilities in the Chelyabinsk region were identified, the benefits for the region were determined if the discovered facilities were transferred to other owners, as well as the possible costs of restoring these lands as agricultural. The intelligent module considered in this article is part of the technology for determining the optimal use of problematic environmental management facilities, it allows us to further solve the problem of balanced development of the territory based on geospatial analysis and artificial intelligence algorithms.