Artificial intelligence in agriculture: study of modern trends

The increase in population and increasing burden on food production characterize the formulation of issues of increasing efficiency of agriculture and ensuring food security as particularly in demand and requiring urgent solutions. Artificial intelligence (AI) technologies are capable of making significant contribution to optimization of agricultural processes. The goal - is to determine priority areas of research into scientific interests in cybernetic devices in agro-industrial complex. The methods are based on systematic literature review of the works of domestic and foreign scientists using the Biblioshiny software package for the use of intelligent systems, computer modeling of various intelligence capabilities in agricultural sector. The results showed noticeable increase in the level of knowledge in the field of computer skills to imitate human actions. Thanks to machine methods, farmers can get the opportunity to modernize their farms and improve quality of their products. Taking into account the factors affecting crop yields, neural networks build accurate forecasts, helping to make the right decisions in planning and management process in agro-industrial complex. With the help of technologies, such operations as sowing, weeding, weed control, and harvesting are automated. Works controlled by "smart machines" maximize labor productivity and reduce labor costs. It has become popular to practice AI in growing grain crops, in vegetable growing, precision farming to reduce water consumption for irrigation, forecasting gross harvest, as well as animal husbandry, for example, in cattle breeding and feeding. Conclusions - the number of publications on the topic under study has increased significantly over the past eight years. It is noted that in the near future, the synergy effect of artificial intelligence with genetic engineering, biotechnology and nanotechnology will become widespread. The popularity of digital intelligence is due to high results, rationalization of human labor. To ensure competitiveness and obtain the necessary profit in agricultural formations, the use of AI technologies is inevitable. This publication will be useful for agricultural specialists, as well as scientists and researchers involved in computer programming and artificial intelligence modeling.