The article is devoted to the consideration of key issues related to the use of machine and deep learning methods in agriculture. Particular attention is paid to the areas of application of these technologies in various processes of farming and growing crops. In addition, the features of using deep learning in practice are considered using the example of developing a recommender system, which is designed to generate proposals for the most suitable crops for growing in a certain region in the next season.

Keywords: agriculture, harvest, artificial intelligence, deep learning, forecasting, model, season, accuracy