Artificial intelligence as an innovative vector of managing the regional agro-industrial complex

The purpose of the study is to identify the main effective options for the use of digital technologies and forms of artificial intelligence in the production system of the agro-industrial complex of Russia in modern socio-economic conditions in the production of high-quality products that can satisfy the needs of the population of different territories to the fullest. The main characteristics of the methods of artificial intelligence tools are determined taking into account the available opportunities, resource provision and further prospects for the innovative transformation of the agricultural production system. The methodological basis of the study is presented by the results of scientific research of domestic specialists in the field of productive development and implementation of electronic digital technologies and the use of artificial intelligence components in the structure of the agro-industrial complex taking into account foreign experience in the electronic and technological support of economic and production systems in the process of farming. In this regard, the authors used the methods of system analysis, generalization, classification, systemic, and structural-functional approaches. The result of the study is to establish the key characteristics and varieties of artificial intelligence in the production processes of the agro-industrial complex at certain territories of the Russian Federation. The results obtained can be used in the activities of small and medium-sized businesses operating in the field of the agro-industrial complex with the aim of information-technological and electronic-digital modernization of the processes of producing high-quality and competitive agricultural products using artificial intelligence technologies. Promising components of artificial intelligence are one of the key production factors contributing to the maintenance, necessary expansion and increase of the level of economic and production efficiency of the functioning of the most important structures of the agro-industrial complex components. Effective practice-oriented artificial intelligence tools contribute to a comprehensive analysis of the maximum possible information data on resource provision in the agro-industrial complex at the implementation of private entrepreneurial initiatives with the use of digital technologies.