Digitalization and digital platform in the economic development of the agricultural sector

The purpose of the article is to reveal the modern significance of digitalization and digital platforms for the economic development of the subjects of the agricultural sector of the economy. Research methods. The following methods were used in the research process, in particular: abstract-logical method (when studying the theoretical foundations of digitalization of the economy), monographic (to clarify the essence of the relevant categories), comparative analysis (when studying the level of digitalization of agricultural holdings «Dream» and «Svarog West Group») economic-statistical (in identifying trends and patterns of development of the state economy), illustrative (for a visual representation of the digital platform of agriculture), as well as methods of systematic approach, grouping and generalization, other methods in the field of economic research. Research results. The need to use a digital platform, especially for small and medium-sized agricultural enterprises, has been identified. In particular, this system will allow: public authorities (to make a plan of visits and yields; to report on the allocation of subsidies, as well as their use; to conduct a financial audit for each enterprise; to assess the competitive advantages of each enterprise; enterprises (to analyze data from weather stations; to study information on the condition of soils; choose crops for sowing; assess the risks of crop loss; obtain data on climatic risks). Scientific novelty. Theoretical provisions on the impact of digitalization of the economy on agricultural production and the need for digitalization of production and economic processes have been further developed. Practical significance. As a result of the implementation of the proposed digital platform in agriculture, the following benefits will be obtained: increased crop yields; the field planning system will improve; reduce production costs based on efficient use of resources and science-based approaches Figs.: 1. Refs.: 17.