Methods and tools of digital transformation of agroindustrial enterprises in the context of Industry 4.0

Relevance. In the context of Industry 4.0, agricultural enterprises are trying to find ways to increase their efficiency and competitiveness. They must be ready to use new technologies and adopt new production management methods in order to increase efficiency, flexibility and quality of production. One of the ways to achieve this goal is to follow global trends, one of which is the digitalization of management activities. Digitalization of such an area, which is not often mentioned in modern literature, as the agro-industrial complex, is a priority and requires additional research and development. The purpose of the study is to consider methods and tools of digital transformation of agro-industrial enterprises and to offer tools for choosing the most suitable digital platform according to a set of selected criteria that take into account the specific requirements of agro-industrial enterprises. In the course of the research, general scientific methods of analysis and synthesis were used, as well as special methods of economic and statistical research (the method of discrete optimization). The article discusses the main changes that occur under the influence of digital transformations of Industry 4.0, methods and tools of digital transformation of enterprises in various fields of activity, criteria for choosing digitalization tools, types of digital platforms. Applied research was conducted for agricultural enterprises. The most famous digital platforms are considered, it is shown how to integrate "end-to-end" technologies into them. It is shown how to form criteria for choosing digitalization tools for making digital decisions in the management of enterprises of the agro-industrial complex. The method of discrete optimization is tested, the combinatorial set cover problem is solved. The analysis made it possible to summarize what requirements consumers have for the functionality of digital platforms and to prove that combinations of FarmLogs and Climate FieldView platforms or FarmLogs and John Deere Operations Center can fully meet the needs of an agro-industrial complex enterprise at the present stage of its digital transformation. Conclusions: It is proved that for the agro-industrial complex, the choice of a digital platform and the "end-to-end" technologies used in them can be carried out by the method of discrete optimization by solving the set cover problem. Directions for further research: development of the proposed approach, its adaptation to the specific conditions of various subsystems of the agro-industrial complex.