Digitalization of Agriculture: Bibliometric Analysis and Prospects for Future Research
https://doi.org/10.51176/1997-9967-2026-1-93-109
Abstract
Digitalization of agriculture is one of the key factors in the structural transformation of the agricultural sector in the context of global challenges to food security and sustainable development. The purpose of this study is a comprehensive systematization and in-depth analysis of scientific publications on the digitalization of agriculture for the period 2001-2024 based on data from the international bibliographic database Scopus using bibliometric methods. The research methods include bibliometric analysis of publications indexed in the Scopus database using the TITLE-ABS-KEY protocol and VOSviewer software. The initial data covers 1,326 scientific articles for the period 2001-2024. The results showed that until 2017, only 28 publications were registered in the database, whereas in 2018-2019 their number increased from 7 to 62 (almost 10 times), and in 2020-2024 it reached the range of 129-318 articles annually. The leading positions are occupied by Russia (400 publications, about 30%), India (118), China (113), Germany (107) and Italy (90). Kazakhstan is represented by 22 publications (approximately 2%), which indicates the formation of a national research direction. The cluster analysis identified four key thematic blocks: economic and institutional, data and IoT management, sustainable development and climate, and digital platforms for the agricultural industry. The results obtained confirm that the digitalization of the agricultural sector is evolving from a technological focus to a comprehensive economic and institutional transformation and forms the basis for further empirical research on the effectiveness of digital solutions in agriculture.
About the Authors
B. K. NaribekKazakhstan
Bagdaulet K. Naribek – PhD student
st. Tauke khan 5, Shymkent
G. I. Abdikerimova
Kazakhstan
Gulzhanar I. Abdikerimova – Cand. Sc. (Econ.).
st. Tauke khan 5, Shymkent
D. A. Kulanova
Kazakhstan
Darikul A. Kulanova – Cand. Sc. (Econ.),
st. Tauke khan 5, Shymkent
M. T. Kalmenova
Kazakhstan
Marzhan Т. Kalmenova – Cand. Sc. (Econ.), Associate Professor
cst. Zhansugurov 187A, Taldykorgan
L. P. Moldashbayeva
Kazakhstan
Luiza P. Moldashbayeva – Cand. Sc. (Econ.), Associate
st. A.Zhumanov 10A, Astana
References
1. Abdullahi, H. O., Mahmud, M., Hassan, A. A., & Ali, A. F. (2023). A bibliometric analysis of the evolution of IoT applications in smart agriculture. Ingénierie des Systèmes d’Information, 28(6), 1495–1504. https://doi.org/10.18280/isi.280606
2. Abu, N. S., Bukhari, W. M., Ong, C. H., Kassim, A. M., Izzuddin, T. A., Sukhaimie, M. N., Norasikin, M. A., & Rasid, A. F. A. (2022). Internet of Things applications in precision agriculture: A review. Journal of Robotics and Control, 3(3), 338–347. https://doi.org/10.18196/jrc.v3i3.14159
3. Ayaz, A., & Ayaz, R. (2025). A bibliometric and thematic approach to digital agriculture research. Uygulamalı Mühendislik ve Tarım Dergisi, 2(1), 1–10.
4. Bertoglio, R., Corbo, C., Renga, F. M., & Matteucci, M. (2021). The digital agricultural revolution: A bibliometric analysis literature review. IEEE Access, 9, 134762– 134782. https://doi.org/10.1109/ACCESS.2021.3115258
5. Brunori, G., Bacco, M., Pinero, C.P., Borzacchiello, M.T., & Stormer, E. (2025). Agri-food data spaces: Highlighting the need for a farm-centered strategy. Data in Brief, 59, 111388. https://doi.org/10.1016/j.dib.2025.111388
6. Chamorro-Padial, J., Virgili-Gomá, J., Gil, R., Teixidó, M., & García, R. (2025). Agriculture data sharing review. Heliyon, 11(1), e41109. https://doi.org/10.1016/j.heliyon.2024.e41109
7. Iaksch, J., Fernandes, E., & Borsato, M. (2021). Digitalization and big data in smart farming: A review. Journal of Management Analytics, 8(2), 333–349. https://doi.org/10.1080/23270012.2021.1897957
8. Kashina, E., Yanovskaya, G., Fedotkina, E., Tesalovsky, A., Vetrova, E., Shaimerdenova, A., & Aitkazina, M. (2022). Impact of digital farming on sustainable development and planning in agriculture and increasing the competitiveness of the agricultural business. International Journal of Sustainable Development and Planning, 17(8), 2413–2420. https://doi.org/10.18280/ijsdp.170808
9. Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. NJAS: Wageningen Journal of Life Sciences, 90– 91(1), 1–16. https://doi.org/10.1016/j.njas.2019.100315
10. Kumari, P., Soor, S., Shetty, A., & Nair, A.M. (2025). A UNet Model for Accelerated Preprocessing of CRISM Hyperspectral Data for Mineral Identification on Mars. ArXiv, abs/2505.02046. https://doi.org/10.48550/arXiv.2505.02046
11. Manlio, B., Paolo, B., Alberto, G., & Massimiliano, R. (2021). Unmanned Aerial Vehicles for Agriculture: an Overview of IoT‐Based Scenarios. Autonomous Airborne Wireless Networks, John Wiley & Sons, Ltd. https://doi.org/10.1002/9781119751717.ch11
12. Mannari, C., Ferrari, A., & Bacco, M. (2024). Sociotechnical Process Modelling to Foster Sustainable Digitalisation of Rural Areas. ERCIM News, 2024.
13. Maulana, F. I., Adi, P. D. P., Arifin, M. N., Hamim, M., & Pramono, A. (2024). Analyzing and visualizing knowledge structures of research and development trends in Internet of Things for smart agriculture: A decade overview. E3S Web of Conferences, 501, 01015. https://doi.org/10.1051/e3sconf/202450101015
14. Mondejar, M. E., Avtar, R., Baños Diaz, H. L., Dubey, R. K., Esteban, J., Gómez-Morales, A., Hallam, B., Mbungu, N. T., Okolo, C. C., Prasad, K. A., She, Q., & Garcia-Segura, S. (2021). Digitalization to achieve sustainable development goals: Steps towards a smart green planet. Science of the Total Environment, 794, 148539. https://doi.org/10.1016/j.scitotenv.2021.148539
15. Naribek B., Abdikerimova G., Kulanova D., & Moldashbaeva L. (2025). Bibliometricheskiy analiz nauchnykh issledovaniy v tsifrovizatsii agropromyshlennogo kompleksa [Bibliometric analysis of scientific research in digitalization of the agro-industrial complex]. Bulletin of the Khalel Dosmukhamedov Atyrau University, 78(3), 390–401. https://doi.org/10.47649/vau.25.v78.i3.33
16. Paudel, B., Riaz, S., Teng, S. W., Kolluri, R. R., & Sandhu, H. (2025). The digital future of farming: A bibliometric analysis of big data in smart farming research. Cleaner and Circular Bioeconomy, 10, 100132. https://doi.org/10.1016/j.clcb.2024.100132
17. Rolandi, S., Brunori, G., Bacco, M., & Scotti, I. (2021). The Digitalization of Agriculture and Rural Areas: Towards a Taxonomy of the Impacts. Sustainability, 13(9), 5172. https://doi.org/10.3390/SU13095172
18. Sadenova, M. A., Beisekenov, N. A., Varbanov, P. S., Kulenova, N. A., Abitaev, F., & Kamenev, Y. (2022). Digitalization of crop production for transition to climate-optimized agriculture using spring wheat in East Kazakhstan as an example. Chemical Engineering Transactions, 96, 415–420. https://doi.org/10.3303/CET2296070
19. Schmidt, D., Casagranda, L. F., Butturi, M. A., & Sellitto, M. A. (2024). Digital technologies, sustainability, and efficiency in grain post-harvest activities: A bibliometric analysis. Sustainability, 16(3), 1244. https://doi.org/10.3390/su16031244
20. Sott, M. K., Nascimento, L. d. S., Foguesatto, C. R., Furstenau, L. B., Faccin, K., Zawislak, P. A., Mellado, B., Kong, J. D., & Bragazzi, N. L. (2021). A bibliometric network analysis of recent publications on digital agriculture to depict strategic themes and evolution structure. Sensors, 21(23), 7889. https://doi.org/10.3390/s21237889
21. Toguzova, M., Shaimardanova, B., Shaimardanov, Z., Assylkhanova, Z. A., & Rakhymberdina, M. (2023). Analysis of the introduction of precision farming elements in East Kazakhstan: Problems and prospects of development. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-5/W2-2023, 125–130. https://doi.org/10.5194/isprs-archives-XLVIII5-W2-2023-125-2023
22. Turner, J.A., Guesmi, B., Gil, J.M., Heanue, K., Sierra, M., Percy, H., Bortagaray, I., Chams, N., & Milne, C.E. (2022). Evaluation capacity building in response to the agricultural research impact agenda: Emerging insights from Ireland, Catalonia (Spain), New Zealand, and Uruguay. Evaluation and program planning, 94, 102127. https://doi.org/10.1016/j.evalprogplan.2022.102127
23. Xu, J., Li, Y., Zhang, M., & Zhang, S. (2024). Sustainable agriculture in the digital era: Past, present, and future trends by bibliometric analysis. Heliyon, 10(14), e34612. https://doi.org/10.1016/j.heliyon.2024.e34612
24. Wang, S., Yang, Y., Yin, H., Zhao, J., Wang, T., Yang, X., Ren, J., & Yin, C. (2025). Towards digital transformation of agriculture for sustainable development in China: Experience and lessons learned. Sustainability, 17(8), 3756. https://doi.org/10.3390/su17083756
Review
For citations:
Naribek B.K., Abdikerimova G.I., Kulanova D.A., Kalmenova M.T., Moldashbayeva L.P. Digitalization of Agriculture: Bibliometric Analysis and Prospects for Future Research. Economy: strategy and practice. 2026;21(1):93-109. (In Kazakh) https://doi.org/10.51176/1997-9967-2026-1-93-109
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