Intelligent Big Data Analytics Technologies as a Driver for Sustainable Agricultural Development
https://doi.org/10.32634/0869-8155-2025-395-06-172-175
Abstract
The article is devoted to the study of the role of innovative approaches to big data analysis in ensuring the sustainable development of the agricultural sector. It examines the potential of intelligent data processing methods to enhance the efficiency of management decisions and optimize production processes in agriculture. Through statistical analysis and modeling, the study identifies key factors determining the effectiveness of Big Data technologies in the agro-industrial sector. The conclusion highlights the need for the integrated use of predictive analytics, machine learning, and cloud computing to build highly productive agroecosystems resilient to market and climate risks. The importance of further developing the methodological and instrumental foundations of big data analytics is emphasized to ensure the competitiveness and environmental sustainability of the domestic agro-industrial complex.
About the Author
A. I. Galkin
Financial University under the Government of the Russian Federation
Russian Federation
Russian Federation
Andrey Igorevich Galkin, Candidate of Economic Sciences, Associate Professor
49/2 Leningradsky Ave., Moscow, 125167
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Review
For citations:
Galkin A.I. Intelligent Big Data Analytics Technologies as a Driver for Sustainable Agricultural Development. Agrarian science. 2025;1(6):172-175. (In Russ.) https://doi.org/10.32634/0869-8155-2025-395-06-172-175
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