Key points are not available for this paper at this time.
Abstract The article provides an analysis of the prospects for the use of artificial intelligence in the agro-industrial complex. The relevance of the study is due to the rapid development of these technologies based on various breakthroughs in the digital sphere and the significant uncertainty of the prospects for their application in agricultural production. The purpose of the paper is to study the nature and direction of the using artificial intelligence technologies in agriculture, as well as to identify problems and prospects for the using artificial intelligence technologies in agriculture in the region. These technologies are used in various fields of agriculture: identification of plant diseases, classification and identification of weeds, identification and counting of fruits, management of water and soil resources, weather (climate) and determination of animal behavior. The advantages of using artificial intelligence technologies include increasing labor productivity in the agricultural sector, improving the efficiency of managerial decision-making, expanding access to information, expanding human capabilities in the workplace and the emergence of new professions. The limitations of the using artificial intelligence technologies in agriculture in the region include the lack of funds and the high cost of these technologies. As the main measures to overcome these obstacles, we can single out an increase in state support and professional development of staff. Artificial intelligence technologies will increase the accuracy of forecasts in various areas of production, which will attract additional investments in agriculture in the region.
Рожкова et al. (Tue,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: