Abstract. The development of the agro-industrial complex of the region in the conditions of the digital economy is impossible without a comprehensive assessment of the agro-industrial potential, on the basis of which reasonable management decisions will be made. The purpose is to identify the specifics of the agro-industrial potential of the region, and develop a system of indicators for its assessment in the context of the digital transformation of the agro-industrial complex. The solution of this issue is based on the use of modern tools of economic and mathematical modeling. The work also uses such research methods as generalization and synthesis, system analysis, modeling and optimization. Scientific novelty. A generalized method for assessing the agro-industrial potential in the direction of its digital transformation and an algorithm for determining the criterion for the economic growth of an agro-industrial complex subject when managing the development of its digital potential are proposed. Results. The main aspects of the analysis of the digital potential of the subject of the agro-industrial complex are identified, among which the key role of the resource potential, which differs in directions and purposes of use, is highlighted, which must be taken into account when developing management decisions. A model of the resource platform of the agro-industrial complex of the region, based on modern information and communication technologies, is proposed, the implementation of which will ensure effective management of the resource potential. A step-by-step scheme for analyzing the digital potential of an agro-industrial complex subject is presented, which makes it possible to identify its capabilities and performance indicators that reflect the level of development of the agro-industrial complex of the region. The necessity of increasing the information support of the management activity of a business entity in three areas is substantiated: improvement of resource management processes, optimization of their quality and volume, business process management. To determine the criterion for economic growth of individual subjects of the agro-industrial complex of the region, an algorithm is proposed that makes it possible to identify the sources and rates of such growth. The practical significance of the study lies in the development of a system of indicators that allow assessing the agro-industrial potential of the region in the direction of its digital transformation, on the basis of which the efforts of the state and investors will be directed to the implementation of measures to support and regulate the processes of digitalization of the industry.

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The article presents the integrated approach to managing the development of complex socio-economic systems based on the digital transformation of business through the transition from document-centricity to data-centricity, reengineering of the organizational structure in the direction of its design on the principle of forming cross-teams, whose activities are aimed at creating effective value chains of a digital product for the consumer. The article also provides an analysis of research on the problem of the socio-economic systems development and their evolution. The knowledge modeling toolkit based on model technologies Data Science, Business Intelligence, Big Data, Data Mining and, in particular, Deep Learning, was used to assess the level of the socio-economic system and manage its potential development.

Modern technologies of remote sensing of the Earth from space allow creating new information systems for observing and studying various processes occurring in biogeocenoses and agrocenoses. This is especially important in the case when it comes to the study of grape agrocenoses, since their most important elements are perennial plants and soils that provide a harvest. In this case, it is necessary to create special information technology for monitoring such objects. This will allow forming a series of observations that are uniform in time and space and provide the ability to conduct an analysis with a high degree of reliability in the future. The aim of this work is to develop methodological foundations for the formation of a system for remote diagnostics of soil fertility of grape agrocenoses in connection with the technology of cultivation and bioecological features of cultivated crops in solving problems of improving land use efficiency, as well as the creation of a mock-up of information system for remote monitoring of grape agrocenoses on their basis, aimed at solving tasks of predicting the condition of soils and vineyards, obtaining objective information about predicted fertility, solving problems of increasing land use efficiency, taking into account soil cultivation technologies and bioecological features of cultivated crops, abiotic and biotic factors.

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