D. M. Nazarov, S. V. Begicheva, A. A. Kopnin
Ural State University of Economics, Ekaterinburg, Russia
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Volume 25 No. 7
Date of paper submission: 06.02.2025, date of review: 20.03.2025, date of acceptance: 07.04.2025.
Published: 07/31/2025
Abstract. The article is devoted to the study of the integration of large language models (LLM) into the Russian agro-industrial complex (AIC). The authors set the task of considering the main aspects of the implementation of this technology, emphasizing its relevance in the context of digital transformation. The purpose of the work is a comprehensive analysis of the use of LLM models to solve key problems in agriculture. Methods. The methodological basis is a systems approach, methods of analyzing scientific literature and case studies, within the framework of which the possibility of implementing the proposed artificial intelligence (AI) technologies in the context of a specific agricultural object is studied. The scientific novelty of this study lies in the comprehensive consideration of the use of LLM models for Russian agriculture, taking into account local infrastructure features and providing a map of the technical implementation of a specific project and developing a payback model. An important part of the study is the assessment of economic indicators, which allows us to determine the payback period of investments and identify key risk factors. The results show that with a 10 % increase in yield and a reduction in pesticide costs, the system pays off within one or two seasons. Also, as part of constructing a process map of the project, factors influencing the success of implementation were additionally identified: ensuring a highquality data set, access to computing resources and the availability of expert support. Thus, the work demonstrates the significant potential of large language models in increasing the productivity and competitiveness of the Russian agro-industrial complex and substantiates the feasibility of further research in this area. The article also presents recommendations for further improvement and adaptation of LLM models, which in the near future can ensure sustainable development of the domestic agricultural sector.
Keywords: Large Language Models (LLM), Artificial Intelligence (AI), Agro-Industrial Complex (AIC), agriculture, smart farm, digital transformation, Internet of Things (IoT), economic efficiency
Acknowledgments. The authors express their gratitude to the Russian Science Foundation for supporting this research under grant 25-28-01634 “Intelligent value chain management system in the agro-industrial complex based on big data and artificial intelligence technologies”.
For citation: Nazarov D. M., Begicheva S. V., Kopnin A. A. Large Language Models (LLM): a new stage of digital transformation of the Russian agro-industrial complex. Agrarian Bulletin of the Urals. 2025; 25 (07): 1129‒1142. https://doi.org/10.32417/1997-4868-2025-25-07-1129-1142 (In Russ.)
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