Algorithm for Using Artificial Intelligence to Monitor Agrogenic and Anthropogenically Disturbed Soils

Abstract

An analysis of the possibilities of using intelligent systems to study the condition of soils was carried out. The use of intelligent systems scheme for studying the condition of soils using the example of agrogenic and anthropogenically disturbed soils is proposed in this chapter. It includes a number of successive stages, containing field research, analysis of results and selection of deciphering features and conditions. This work focuses on the first stages, since they are specific to soil research. Other stages of statistical data processing are unified for a wide variety of objects in different fields of knowledge. They include creating a training sample, calculating statistical indicators and analyzing the decipherability of object properties from training samples, adjustment, segmentation and the use of artificial intelligence to solve average problems in the chosen direction.