This paper examines the role of artificial intelligence (AI) technologies in reducing labor costs in agricultural production. Successes in increasing yields and reducing production costs are analyzed. Statistics on the implementation of digital technologies in Russian agricultural enterprises are presented, key trends are highlighted, and prospects for further automation and robotics are identified. Specific cases of successful implementation of innovative solutions are considered. It is shown that digitalization of the agricultural sector can significantly increase labor productivity, reduce material and financial costs, improve the accuracy of technological processes, and ensure stable growth in production volumes. Practical examples of the use of AI technologies are provided. Factors hindering the widespread adoption of AI, such as high initial investment, a shortage of trained specialists, and the lack of necessary infrastructure, are examined. Despite this, it is shown that investments in digitalization have a high potential for return on investment and can lead to increased profits. Conclusions are drawn about the large-scale positive impact of automation on the economy of the Russian agricultural sector.
Gusev et al. (Sat,) studied this question.