Formation of a mechanism for the digital transformation of the management of agricultural sector development in Ukraine

O. Shvets
Abstract

The digital transformation of Ukraine’s agricultural sector represents a strategically important development pathway, enabling the optimisation of management processes, the reduction of production costs, and the enhancement of agricultural enterprises’ productivity. This study aimed to develop a mechanism for the digital transformation of the management of agricultural sector development based on modern technological solutions and their economic efficiency. To achieve this aim, bibliographic and content analysis, economic forecasting methods, mathematical modelling of digitalisation costs, and statistical methods for assessing the effectiveness of digital technology implementation were employed. The study established that the main mechanisms of digital transformation include digital platforms, the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), blockchain, and ERP systems. The total cost of digitalising Ukraine’s agricultural sector is estimated at approximately 18,900,110,000 USD. The largest financial investments are directed towards process automation (12,600,000,000 USD), particularly in robotic harvesting systems (4,200,000,000 USD), automated tractors (4,200,000,000 USD), and irrigation systems (4,200,000,000 USD). The cost of implementing IoT equipment, including sensors for monitoring soil and weather conditions, drones for aerial surveying, and automated data collection systems, amounts to 6,300,000,000 USD. Investments in big data analytics and AI algorithms range from 50,000 USD to 60,000 USD per system, while ERP systems are estimated at between 30,000 USD and 60,000 USD. Calculations indicate that the average cost of digitalising one hectare of agricultural land varies between 450 USD and 1,000 USD, depending on the level of technological integration. The proposed digital transformation mechanism envisages the integration of IoT equipment, automated systems, blockchain, and analytical tools into a unified agricultural management system. Its implementation is expected to reduce production costs by 20%-35%, increase productivity by 15%-25%, and decrease crop losses by 10%-18% through the adoption of precision farming and analytical forecasting. The practical significance of the study lies in the application of the developed model for government planning of agricultural sector digitalisation, optimisation of agricultural production costs, and enhancement of sector competitiveness

Keywords

economic model; integration; advanced technologies; automation; Internet of Things; cost optimisation; productivity enhancement

Suggested citation
Shvets, O. (2025). Formation of a mechanism for the digital transformation of the management of agricultural sector development in Ukraine. Economics and Business Management, 16(1), 70-91. https://doi.org/10.31548/economics/1.2025.70
References
  1. Abashidze, G. (2023). Digital agriculture – technological means and possibilities of digital transformation of agriculture.  In 24th international scientific conference. “Economic science for rural development 2023” (pp. 13-19). Jelgava: Latvia University of Life Sciences and Technologies. doi: 10.22616/esrd.2023.57.001.
  2. Atheeq, L.K., Venkatesh, R., Rajashekharappa, M.T., & Kumar, S.J. (2023). Data analytics and agricultural transformation. In Agricultural sector in India (pp. 321-344). India: Routledge. doi: 10.4324/9781003434672-25.
  3. Bushuyev, S., Bushuyeva, N., & Iazykov, D. (2022). Management of agricultural sector development projects based on circular economy principles. Management of Development of Complex Systems, 52, 21-27. doi: 10.32347/2412-9933.2022.52.21-27.
  4. Dörr, J., & Nachtmann, M. (2022). Handbook digital farming: Digital transformation for sustainable agriculture. Heidelberg: Springer Berlin.
  5. Gábor, A., & Szabó, Z. (2023). Smart agriculture. In Smart business and digital transformation (pp. 171-179). London: Routledge. doi: 10.4324/9781003390312-18.
  6. Golyan, V., Gordiychuk, A., & Shmarov, D. (2019). Institutional environment for integrated development of the agricultural sector: Priorities and improvement mechanisms. Ekonomika ta Derzhava, (3), 23-29. doi: 10.32702/2306-6806.2019.3.23.
  7. Gomeniuk, M. (2023). Innovative management in the agricultural sector. International Scientific Journal “Internauka”. Series: “Economic Sciences”, 2(70). doi: 10.25313/2520-2294-2023-2-8604.
  8. Halanets, V., Dziurakh, Y., Yaremko, H., & Fedorchak, O. (2023). Transformation of the state regulatory policy in the agricultural sector of Ukraine. Amazonia Investiga, 12(62), 293-301. doi: 10.34069/ai/2023.62.02.29.
  9. Hassan, K.M., El-Gamal, F.E.-Z.A., & Elmogy, M. (2023). Intelligent mechanism for virtual machine migration in cloud computing. In D. Magdi, A.A. El-Fetouh, M. Mamdouh & A.  Joshi (Eds.), Green sustainability: Towards innovative digital transformation. ITAF 2023. Lecture notes in networks and systems (pp. 67-83). Singapore: Springer. doi: 10.1007/978-981-99-4764-5_6.
  10. Jiang, S., Zhou, J., & Qiu, S. (2022). Digital agriculture and urbanization: Mechanism and empirical research. Technological Forecasting and Social Change, 180, article number 121724. doi: 10.1016/j.techfore.2022.121724.
  11. Kopytko, V., & Kopytko, O. (2024). Management of innovative development of the agricultural sector in modern conditions. Business Navigator, 2(75), 196-202. doi: 10.32782/business-navigator.75-33.
  12. Lima, G.C., Figueiredo, F.L., Barbieri, A.E., & Seki, J. (2020). Agro 4.0: Enabling agriculture digital transformation through IoT. Revista Ciência Agronômica, 51(5). doi: 10.5935/1806-6690.20200100.
  13. Lodhi, Y.K., & Shah, D.A. (2024). Review on agriculture 4.0: Exploring the digital transformation of the agriculture supply chain. International Journal of Agriculture Extension and Social Development, 7(1), 308-312. doi: 10.33545/26180723.2024.v7.i1e.224.
  14. Rodino, S., Buțu, M., Buțu, A., Lazăr, C., Ciornei, L., & Simion, P.-S. (2023). Challenges of digital transformation in agriculture from romania. Romanian Agricultural Research, 40, 713-721. doi: 10.59665/rar4066.
  15. Rodríguez, M.A., Cuenca, L., & Ortiz, Á. (2019). Big data transformation in agriculture: From precision agriculture towards smart farming. In Collaborative networks and digital transformation PRO-VE 2019. IFIP Advances in Information and Communication Technology (pp. 467-474). Cham: Springer International Publishing. doi: 10.1007/978-3-030-28464-0_40.
  16. Stender, S., Tsvihun, I., Balla, I., Borkovska, V., & Haibura, Yu. (2024). Innovative approaches to improving the agricultural sector in the era of digitalization of the economy. Scientific Horizons, 27(3), 154-163. doi: 10.48077/scihor3.2024.154.
  17. Sundari, T.T. (2018). Digital transformation of Indian agriculture. Contemporary Social Sciences, 27(4), 65-71. doi: 10.29070/27/58309.
  18. Tkach, V., Makarenko, E., Kushnarenko, T., Eremenko, V., Rusina, E., & Kholodov, O. (2019). Digital accounting and management of economic processes in the agricultural sector. IOP Conference Series: Earth and Environmental Science, 403, article number 012135. doi: 10.1088/1755-1315/403/1/012135.
  19. Ulyanchenko, A.V., & Umanets, S.V. (2019). Innovation and investment management of renewable energy development in agricultural sector. The Bulletin of Kharkiv Nation Agrarian University Named After V.V. Dokuchayeva. Series “Economic Sciences”, 1, 392-402. doi: 10.31359/2312-3427-2019-1-392.
  20. Usenko, L.N., Guzey, V.A., Usenko, N.M., & Usenko, A.M. (2024). Analysis of key technologies of digital transformation in agriculture. BIO Web of Conferences, 83, article number 03001. doi: 10.1051/bioconf/20248303001.