IT landscape of digital ecosystem in Russian agriculture

Abstract

This paper discusses the influence of the determination of new concepts: "digital ecosystem," "digital economy ecosystem," "digital business ecosystem," "digital platform ecosystem," etc., emerging in connection with the general digitalization of society, on the consistency of and scientific approach to the digitalization in Russia. We have shown that the business community's chase of fashionable words that no longer have scientific accuracy, results in simplifying the concepts conveyed by them, which, consequently, lose their strict conceptuality, consistency, and unambiguity. The ambiguity of these concepts, reinforced by the similar uncertainty in interpreting the digital platform with dozens of definitions, leads to blurring and confusing the scientific systems approach to the digitalization of real economy management, to its disintegration, that is, a huge number of options for this process to develop, which prevents fulfilling the main requirement of the digital economy – the maximum integration of data and algorithms. Exemplified by agriculture, as an industry that most satisfies the classical understanding of ecosystem due to the existence of a great variety of biological species of animals and plants, natural factors, land resources, we have given a systematic scientific definition of the digital ecosystem, substantiated by mathematical modeling. Based on this definition and modeling results, this paper considers the methods for creating a science-based digital ecosystem in the industry, integrating a single digital production management platform and a single platform for scientific and educational information resources. The comprehensive deployment of the presented digital ecosystem in agriculture will reduce the costs of implementing the industry's digital economy program by ten folds with much greater efficiency.