vetpressАграрная наукаAgrarian science0869-81552686-701XРедакция журнала "Аграрная наука"10.32634/0869-8155-2025-393-04-172-176vetpress-3591Research ArticleЦИФРОВИЗАЦИЯ АПКDIGITALIZATION OF THE AGRO-INDUSTRIAL COMPLEXЦифровизация сельского хозяйства: роль больших данных в повышении эффективности и устойчивости отраслиDigitalization of agriculture: the role of big data in improving the efficiency and sustainability of the industryЕреминС. Г.EreminS. G.

Сергей Геннадьевич Еремин, кандидат юридических наук, доцент

Ленинградский пр-т, 2/49, Москва, 125167

Sergey Gennadievich Eremin, Candidate of Legal Sciences, Associate Professor

49/2 Leningradsky Ave., Moscow, 125167

SGEremin@fa.ruФинансовый университет при Правительстве Российской ФедерацииРоссияFinancial University under the Government of the Russian FederationRussian Federation20252504202514172176Copyright © Еремин С.Г., 20252025Еремин С.Г.Eremin S.G.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.vetpress.ru/jour/article/view/3591

В статье исследуется влияние цифровизации и технологий больших данных на развитие сельского хозяйства. На основе анализа литературы выявлены ключевые тренды применения big data в аграрном секторе, включая точное земледелие, умные фермы, прогнозирование урожайности и оптимизацию цепочек поставок. Эмпирическая часть работы основана на данных опросов фермерских хозяйств РФ (n = 500), а также анализе кейсов внедрения цифровых решений крупными агрохолдингами. Основные результаты свидетельствуют о значительном потенциале больших данных для повышения эффективности и устойчивости сельского хозяйства. Выявлено, что использование предиктивной аналитики на основе big data позволяет на 15–20% увеличить урожайность, на 10–15% снизить потери при хранении продукции, на 20–25% оптимизировать затраты ресурсов. При этом ключевыми барьерами остаются дефицит компетенций в области data science, высокая стоимость технологий и неготовность к изменениям. Сделан вывод о необходимости поддержки цифровой трансформации сельского хозяйства на государственном уровне, а также развития партнерств науки и бизнеса для создания и трансфера инновационных решений.

The article investigates the impact of digitalization and big data technologies on the development of agriculture. Based on a literature review, key trends in the application of big data in the agricultural sector, including precision farming, smart farms, yield forecasting, and supply chain optimization, were identified. The empirical part of the study is based on survey data from Russian farming enterprises (n = 500) as well as an analysis of case studies on the implementation of digital solutions by large agricultural holdings. The main findings indicate a significant potential for big data to enhance the efficiency and sustainability of agriculture. It was found that the use of predictive analytics based on big data allows for a 15–20% increase in yield, a 10–15% reduction in storage losses, and a 20–25% optimization of resource costs. However, key barriers remain, such as a shortage of expertise in data science, high technology costs, and resistance to change. The conclusion highlights the need for state-level support for the digital transformation of agriculture, as well as the development of partnerships between science and business to create and transfer innovative solutions.

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The authors declare that there are no conflicts of interest present.