Intellectualization of the food security system: Current trends

Subject. Modernization of agricultural production, improving the level of food security in the Russian Federation. Objectives. Analysis of opportunities for applying machine learning methods in the bioeconomy. Methods. General scientific research methods were applied. Results. The main problem hindering the use of artificial intelligence in agriculture is the lack of an information base. The introduction of artificial intelligence into the industry will not only increase production efficiency but also ensure the availability of quality food products. Conclusions. The research results may be taken into account by the Ministry of Agriculture of the Russian Federation when monitoring threats to the country's food security.