Analysis of Digital Technologies in the Agri-Food Sector Based on Big Data Analysis Methods

Abstract Digital technologies are becoming more and more in demand by various sectors of the economy because of the COVID-19 pandemic. An analysis of the practical use of such technologies revealed the need for a theoretical understanding of the possibilities of developing a new digital model and a study of the needs of the agri-food complex for digital technologies. In the paper, an approach to analyzing digital technologies in the agriculture, including robotic systems, is presented. The study resulted in the formation of a collection of full-text documents on robotics, which made it possible to identify the dynamics and structure of patents and publications on this topic. The study’s results provide the basis for developing a methodology for intelligent big data analysis applied to digitalization technologies. The results can be used to identify public administration tools for decision-making based on key indicators of promising areas and markets, as well as to determine the most promising areas for scientific and technological development in the agro-industrial complex.