Over the past decade, public interest in precision farming technologies, monitoring of production and technological processes and environmental protection issues has noticeably increased. Nowadays, agricultural producers are increasingly using technologies based on digital data, which are used to manage and optimize production. Digital maps and information models are one of the ways to present a field passport, that is, a visual database obtained on the basis of an analysis of land resources and reflecting reliable information about the state of a particular land plot. As a result of the research carried out, digital soil models were constructed (using the example of the soils of the Chelyabinsk region). The obtained models, which clearly reflect the content of heavy metals, are recommended for use in making managerial decisions in the field of the agro-industrial complex. The use of these models contributes to the transition to digital crop technologies.

The purpose of the research was to build information and analytical models of the soil based on the data of energy-dispersive X-ray fluorescence analysis. For the soil of the Chelyabinsk region, on the basis of experimental data, information and analytical models are constructed, showing a complete list of chemical elements and trace elements, the content of which exceeds the permissible concentration. These models, which clearly reflect the content of micro-and macronutrients in the soil, are recommended for use in the development of measures for soil reclamation and the involvement of fallow lands in agricultural turnover.