Integration of agricultural artifical intelligence applications into a single digital platform

Abstract

The paper addresses digital transformation trends in agriculture towards precision production embodied in precision agricultural technologies, which require combining a huge amount of inconsistent, multidimensional, and multi-industry data with appropriate processing technologies. Methods of artificial intelligence (AI) are of particular importance among these technologies. A sufficient amount of structured and reliable data is a prerequisite for using those methods. The paper provides a list of the most significant AI developments in agriculture offered by the market, accompanied by an analysis of their application prospects. Since AI applications are currently used in almost all known precision technologies in agriculture, which are evolving from the digitalization of individual operations to the digitalization of an interconnected system, based on the integration of all operations, including those of related industries, the AI applications should undergo integration transformations into the standards of the proposed unified digital platform for managing the agricultural economics, which is powered by mathematical and ontological modelling. The transition of the industry to this single platform is challenged by a patchwork and discontinuous informatization that dominates in our country. An effective solution is proposed in the form of elaborating the most advanced AI technologies in combination with precision agriculture and precision cattle breeding methods in several reference facilities.