Abstract
In the context of a global market, the agro-industrial complex (AIC) system is undergoing continuous modernization in order to respond effectively to market challenges. The project of digitalization of agriculture has a clear character of modernization. It can be assumed that this project of the Ministry of agriculture is based on an optimistic scenario (unconditional implementation of the presented quantitative indicators within the specified time frame). The purpose of the study is to evaluate the efficiency of applying expert assessment methods to the problem of digitalization in the agro-industrial complex system. Using the methods of system analysis and, first of all, various methods of expert assessment, cognitive analysis and modeling, as well as scenario development, the weak points of the optimistic scenario of the departmental project were identified and the algorithms of the realistic scenario were determined. A review of scientific publications that reflect the problems of digitalization of agriculture, based mainly on the positions of system analysis. It is based on scientific publications in journals included in the Russian science citation index system, as well as in journals included in international scientometric databases, such as Scopus and Web of Science. The author presents the structure of problems in tabular and graphical form using methods of cognitive analysis and hierarchy analysis. The result was shown two schemes that reflect the structure of socioeconomic, technological and reengineering blocks in the agricultural sector, de-fining the basic contours of the problem field of digitization, as well as the graph structure of the problem field of digitalization of agriculture, showing the interconnection and interaction of individual structural components.
Highlights
In the process of macroeconomic modeling, agro-industrial complex systems in most cases are based on the structure of production functions and relationships
In the context of the global market, competition is sharply increasing and the system of the agro-industrial complex is moving into a stage of constant modernization in order to effectively respond to market challenges
In addition to the methods of expert assessments in the entire wide range, we consider it expedient to use methods of scenario forecasting, as well as methods of cognitive analysis and modeling, which we propose to implement at the stages of the study
Summary
In the process of macroeconomic modeling, agro-industrial complex systems in most cases are based on the structure of production functions and relationships. In essence they are engaged in modeling the technical and technological subsystem of the agro-industrial complex. In the context of the global market, competition is sharply increasing and the system of the agro-industrial complex is moving into a stage of constant modernization in order to effectively respond to market challenges. It is a process with many unknowns and variables
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