Application of artificial intelligence in sustainable agriculture and precise farming
https://doi.org/10.53315/2949-1177-2025-4-3-10-18
Abstract
The purpose of the research presented in the article is to identify the most promising areas of application of information technologies and innovations to increase the efficiency and sustainability of the Russian agricultural sector, as well as to develop recommendations for their implementation and scaling. The research methods included an analysis of modern approaches to AI applications such as precision farming, drones, sensors, and machine learning algorithms, as well as studying the impact of technology on productivity, environmental sustainability, and cost optimization. The main results show that AI opens up prospects for automating agricultural processes, including soil monitoring, yield forecasting, and resource management, helping to reduce labor costs, increase yields, and improve product quality. However, the authors note that the successful implementation of technologies requires significant investments, training of specialists and creation of adapted solutions for small and medium-sized enterprises.
About the Authors
E. V. Samaeva
Kalmyk State University named after B.B. Gorodovikov
Russian Federation
Russian Federation
Candidate of Economic Sciences, Associate Professor
Elista
B. E. Evieva
Kalmyk State University named after B.B. Gorodovikov
Russian Federation
Russian Federation
Candidate of Economic Sciences, Associate Professor
Elista
E. V. Erdnieva
Kalmyk State University named after B.B. Gorodovikov
Russian Federation
Russian Federation
Candidate of Economic Sciences, Associate Professor
Elista
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Review
For citations:
Samaeva E.V., Evieva B.E., Erdnieva E.V. Application of artificial intelligence in sustainable agriculture and precise farming. Economic policy and financial resources. 2025;4(3):10-18. (In Russ.) https://doi.org/10.53315/2949-1177-2025-4-3-10-18
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