Mathematical methods of digitalization of agro-industrial complex in the near abroad countries.

In the practice of leading countries, digital transformation implies a sectoral principle of support for the introduction of new technologies. At the same time, programs and projects can be built both on the principle of implementing a single promising group of in several industries, where it is especially relevant, and, conversely, provide for the digital transformation of a particular industry through the forceful introduction of a multitude of technologically diverse solutions demanded in a given sector of the economy or social sphere. of a given sector of the economy or social sphere. Digital transformation affects a wide range of industries and organizations, from the most advanced in terms of digital adoption (e.g., financial services) to the more conservative real sector; this paper examines digital transformation in the agro-industrial complex (agriculture). The key task of digital transformation of agriculture is to extract value from the collected big data about the internal and external environment. The foundation for this is cloud platforms, big data solutions, predictive analytics technologies, and decision support systems decision support systems. [ABSTRACT FROM AUTHOR]