Theoretical bases of managing agricultural production based on digital technologies

Abstract

Digitalization affects all sectors of the economy, including agriculture. In addition, agriculture is a sector where the flow of data is very large and their digitization becomes a necessity for making optimal management decisions. The use of digital technologies in the industry is aimed at automating the maximum number of agricultural processes by creating a virtual model of the entire production cycle, and planning and forecasting with a high level of accuracy the schedule of work, crop yields, production costs and profits. Thus, digital technologies significantly change the process of managerial decision-making by the head of an agricultural organization. The purpose of this study is to develop the theoretical foundations of digital agricultural production management. The research methodology was based on monographic, abstract-logical, comparative methods. The study revealed that digitalization of agricultural production requires not only a complete change in production technology, but also a management system. A number of specific features inherent in the management of digital agricultural production are highlighted, which relate to the emergence of possibilities for modeling the production process, making changes to it and developing different scenarios; reducing the degree of influence on the production results of the climatic and human factors; guaranteed receipt of specified production parameters and the dependence of the vital activity of organisms on the work of engineering systems. In the context of digitalization of production, the functions of managing an organization undergo changes: in the framework of planning, which is generally carried out by a person, a significant role is given to forecasting, or rather, the development of scenarios for the possible development of production, which is already carried out by artificial intelligence. The latter also passes the function of monitoring production.