The implementation of smart farming technologies as a factor in ensuring food security

Nabi Avarsky; Aleksandr Mel&#039;nikov

VAK Russia 5.2.3 UDC 338.28

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THE IMPLEMENTATION OF SMART FARMING TECHNOLOGIES AS A FACTOR IN ENSURING FOOD SECURITY The implementation of smart farming technologies as a factor in ensuring food security

АА Аа

Published in Economic policy and national security · Issue 1 · Pages 29–42 · Rubric: ECONOMIC SECURITY

Received: 30.12.2025 Accepted: 06.02.2026 Published: 27.02.2026

Authors

Nabi Avarsky

ORCID

Aleksandr Mel'nikov

ORCID Scopus ResearcherID SPIN

Nabi Avarsky

Academic degree: doctor of economic sciences

Science rang: corresponding member author.academy_titles.32

Federal Research Center of Agrarian Economy and Social Development of Rural Areas – All-Russian Research Institute of Agricultural Economics Scientific Secretary, Head of the Department · Department of Marketing and Development of Food Markets · Russian Federation · Moscow

ORCID

Aleksandr Mel'nikov

Academic degree: doctor of economic sciences

Science rang: professor

Kuban State Agrarian University Professor, Head of Department · Department of Economics and Foreign Economic Activity · Krasnodar

ORCID Scopus ResearcherID SPIN

ABSTRACT

Introduction. The integration of innovative technologies, including drones, smart sensors, and data analytics, into traditional farming methods enables the optimisation of supply chains for the production and sale of agricultural products, to enhance the effectiveness and efficiency of economic activity, to ensure an acceptable level of financial stability, and partially mitigate the negative impact of external factors, such as climate change and high price volatility in global food markets. Objective. To analyse the prospects for implementing smart farming technologies within the Russian agro-industrial complex, identify current challenges, determine promising solutions, forecast long-term trends in the innovative development of agricultural production, and assess their impact on ensuring national food security. Methods. The study’s information base comprises: scientific publications indexed in the Scopus and Web of Science peer-reviewed databases; analytical reports from the Food and Agriculture Organisation of the United Nations; and agricultural data exchange standards included in the ISOBUS/ISO 11783 data transfer protocol. Synthesis and analysis were employed as the core methods for identifying trends in the development of smart agriculture. Results. The application of advanced innovative technologies in the agro-industrial complex, such as blockchain, shows significant potential; however, their implementation is hindered by several challenges, the resolution of which is essential for ensuring food security. Achieving sustainable growth rates in agricultural production requires the adoption of comprehensive long-term development strategies encompassing economic, social, technological, legal, and environmental aspects.

KEYWORDS

food security, blockchain, Internet of Things, agro-industrial complex

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1. Bagno, Vadim A. 2025. “Intellektual'noe sel'skoe hozyajstvo s ispol'zovaniem metodov mashinnogo obucheniya i glubokogo obucheniya” [“Intelligent agriculture using machine learning and deep learning methods”] (In Russ.). Inzhenernyj vestnik Dona [Engineering Bulletin of the Don] 127, no. 1 (July):126–38. URL: ivdon.ru/ru /magazine/archive/n7y2025/10244

2. Godin, Vladimir V. [et al.]. 2020. “Sel'skoe hozyajstvo v cifrovuyu epohu: vyzovy i resheniya” [“Agriculture in the Digital Age: challenges and solutions”] (In Russ.). E-Management 3, no. 1 (March):4–15. https://doi.org/10.26425 /2658-3445-2020-1-4-15

3. Kurdyumov, Alexander V., and Alexander V. Korolev. 2020. “Vnedrenie cifrovyh tekhnologij v sel'skom hozyajstve” [“Introduction of digital technologies in agriculture”] (In Russ.). Moskovskij ekonomicheskij zhurnal [Moscow Economic Journal], no. 12 (December):369–83. https://doi.org/10.24411/2413-046-2020-10867

4. Matvejchuk, Natalja M., and Yuri N. Sotskov, Alexey Yu. Mihajlov. 2024. “Obzor i perspektivy razvitiya upravleniya informacionnymi tekhnologiyami v sel'skom hozyajstve Rossijskoj Federacii, Kitaya i Belorussii” [“Review and prospects for the development of information technology management in agriculture in the Russian Federation, China and Belarus”] (In Russ.). E-Management 7, no. 3 (March):4–19. https://doi.org/10.26425/2658-3445-2024- 7-3-4-19

5. Mal'sagova, Radima G. 2025. “Problemy i intellekta, perspektivy primeneniya iskusstvennogo bol'shih dannyh i blokchejn-tekhnologij v sel'skom hozyajstve Rossii” [“Problems of artificial intelligence, prospects for the use of artificial big data and blockchain technologies in agriculture in Russia”] (In Russ.). Mezhdunarodnyj sel'skohozyajstvennyj zhurnal [International Agricultural Journal] 404, no. 2 (June):220–4. https://doi.org/10. 55186/25876740_2025_68_2_220

6. Parshutina, Inna G., and Alexandra I. Solodovnik, Anastasia V. Amelina. 2023. “Analiz vliyaniya cifrovizacii i interneta veshchej na proizvoditel'nost' truda v ekonomike” [“Analysis of the impact of digitalization and the Internet of Things on labor productivity in the economy”] (In Russ.). Vestnik agrarnoj nauki [Bulletin of Agrarian Science] 103, no. 4 (August):155–63. https://doi.org/10.17238/issn2587-666X.2023.4.155

7. Safonova, TatyanaV. [et al.]. 2024. “Tendencii razvitiya umnogo sel'skogo hozyajstva” [“Smart agriculture development trends”] (In Russ.). Mezhdunarodnyj zhurnal informacionnyh tekhnologij i energoeffektivnosti [International Journal of Information Technologies and Energy Efficiency] 44, Vol. 9, no. 6 (June):137–44.

8. Skvortcov, Egor A. [et al.]. 2019. “Primenenie tekhnologij iskusstvennogo intellekta v sel'skom hozyajstve” [“Application of artificial intelligence technologies in agriculture”] (In Russ.). Agrarnyj vestnik Urala [Agrarian Bulletin of the Urals] 187, no. 8 (August):91–8. https://doi.org/10.32417/article_5d908ed78f7fc7.89378141

9. Smagin, Aleksandr A. 2018. “Integraciya cifrovoj ekonomiki v sel'skoe hozyajstvo: mezhdunarodnyj opyt i ego primenenie v Rossijskoj Federacii” [“Integration of the digital economy into agriculture: international experience and its application in the Russian Federation”] (In Russ.). Ekonomika sel'skogo hozyajstva Rossii [The economics of agriculture in Russia], no. 6 (June):92–7.

10. Horuzhij, Lyudmil I., and Tatiana I. Ashmarina. 2020. “Sel'skoe hozyajstvo i cifrovoj Shyolkovyj put'” [“Agriculture and the digital Silk Road”] (In Russ.). Ekonomika sel'skogo hozyajstva Rossii [The economics of agriculture in Russia], no. 3 (March):16–9. https://doi.org/0.32651/203-16

11. Demestichas, Konstantinos [et al.]. 2020. “Blockchain in agriculture traceability systems: A review.” Applied Sciences 12, no. 10 (June):4113. https://doi.org/10.3390/app10124113

12. Kumar M, Sandeep [et al.].2021. "Applying blockchain in agriculture: A study on blockchain technology, benefits, and challenges.” In: Suresh A., Paiva S. (eds) Deep Learning and Edge Computing Solutions for High Performance Computing. EAI/Springer Innovations in Communication and Computing 167–81. Springer, Switzerlan : Cham. https://doi.org/10.1007/978-3-030-60265-9_11

13. Joshi, Sudhanshu, and Manu Sharma. 2022. “Digital technologies (DT) adoption in agri-food supply chains amidst COVID-19: an approach towards food security concerns in developing countries.” Journal of Global Operations and Strategic Sourcing 15, no. 2 (October):262–82. https://doi.org/10.1108/JGOSS-02-2021-0014

14. Kumar, Shashank [et al.]. 2022. “Integrated blockchain and internet of things in the food supply chain: Adoption barriers.” Technovation 118, no. 107 (July):102589. https://doi.org/0.1016/j.technovation.2022.102589

15. Lu, Yi, and Peng Li, He Xu. 2022. “A Food anti-counterfeiting traceability system based on Blockchain and Internet of Things.” Procedia Computer Science 199, no. 5 (February):629–36. https://doi.org/10.1016/j. procs.2022.01.077

16. Sajja, Guna S. [et al.]. 2021. “Towards applicability of blockchain in agriculture sector.” Materials Today: Proceedings 80, no. 8 (August):3705–8. https://doi.org/10.1016/j.matpr.2021.07.366