Preview

Eurasian Journal of Economic and Business Studies

Advanced search

Digitalization of Agribusiness and its Impact on Productivity and Sustainability: A Systematic Literature Review

https://doi.org/10.47703/2789-8253-2026-1-88-103

Abstract

Digital transformation of the agro-industrial complex is seen as a key factor in increasing the productivity and resilience of agri-food systems in the face of climate instability and increasingly complex global supply chains. Despite the rapid growth of scientific publications, research results remain fragmented, and the mechanisms by which digital technologies influence economic and sustainability indicators are poorly systematized.
The purpose of this study is to summarize and critically
analyze the scientific literature on the impact of digital technologies on efficiency of agricultural production, the sustainability of agri-food systems, and the role of data and platforms in shaping these effects. The paper addresses the following research questions: how do digital technologies influence agricultural productivity; to what extent do they contribute to environmental and economic sustainability; and what organizational and institutional conditions determine the effectiveness of digital transformation.
The study was conducted as a systematic review of scientific publications covering the period 2015-2025. Following a multi-stage selection process from an initial pool of over twenty-two thousand publications, fifty-six studies meeting criteria for topical relevance and methodological transparency were included in the final analysis. 
The analysis shows that digitalization is creating a new production infrastructure based on data and analytics, which contributes to increased resource efficiency, reduced uncertainty, and improved coordination in supply chains. However, the sustainability of these effects significantly depends on the institutional environment, the level of infrastructure development, and the quality of data management. It is concluded that the long-term effectiveness of digital transformation is determined not only by the implementation of technologies but also by the alignment of organizational, infrastructural, and managerial factors.

About the Authors

Lyailya Akhmetova
Sarsen Amanzholov East Kazakhstan University
Kazakhstan

Master of Humanities Sciences 

Ust-Kamenogorsk 



Yerzhan Domalatov
Sarsen Amanzholov East Kazakhstan University
Kazakhstan

PhD Candidate 

Ust-Kamenogorsk 



Alma Baiguzhinova
Sarsen Amanzholov East Kazakhstan University
Kazakhstan

PhD Candidate 

Ust-Kamenogorsk 



Igor Dubina
Altai State University
Russian Federation

Doc. Sc. (Econ.), Professor of the Department of Economics and Econometrics 

Barnaul



Madina Bazhigaliyeva
Sarsen Amanzholov East Kazakhstan University
Kazakhstan

Master of Economics Sciences 

Ust-Kamenogorsk 



References

1. Abbasi, R., Martinez, P., & Ahmad, R. (2022). The digitization of agricultural industry – A systematic literature review on agriculture 4.0. Smart Agricultural Technology, 2, 100042. https://doi.org/10.1016/j.atech.2022.100042

2. Abiri, R., Rizan, N., Balasundram, S. K., Shahbazi, A. B., & Abdul-Hamid, H. (2023). Application of digital technologies for ensuring agricultural productivity. Heliyon, 9(12), e22601. https://doi.org/10.1016/j.heliyon.2023.e22601

3. Acharya Balkrishna, Pathak, R., Kumar, S., Arya, V., & Singh, S. K. (2023). A comprehensive analysis of the advances in Indian digital agricultural architecture. Smart Agricultural Technology, 5, 100318. https://doi.org/10.1016/j.atech.2023.100318

4. Agyekumhene, C., de Vries, J. R., van Paassen, A., Macnaghten, P., Schut, M., & Bregt, A. (2018). Digital platforms for smallholder credit access: The mediation of trust for cooperation in maize value chain financing. NJAS – Wageningen Journal of Life Sciences, 86–87, 77–88. https://doi.org/10.1016/j.njas.2018.06.001

5. Ahoa, E., Kassahun, A., Verdouw, C., Tekinerdogan, B., & Tummers, J. (2026). A capability maturity model for assessing digital integration in smart farming. Smart Agricultural Technology, 13, 101743. https://doi.org/10.1016/j.atech.2025.101743

6. Aijaz, N., Lan, H., Raza, T., Yaqub, M., Iqbal, R., & Pathan, M. S. (2025). Artificial intelligence in agriculture: Advancing crop productivity and sustainability. Journal of Agriculture and Food Research, 20, 101762. https://doi.org/10.1016/j.jafr.2025.101762

7. Akhmetkyzy, A., Nurmukhametov, N. N., & Nurgabylov, M. N. (2024). Sustainable farming: Insights from data clustering. Economy: Strategy and Practice, 19(1), 70–87. https://doi.org/10.51176/1997-9967-2024-1-70-87

8. Anam, M. Z., Islam, M. H., Islam, M. T., Bari, A. B. M. M., & Raihan, A. (2025). A Fermatean fuzzy approach to analyze the drivers of digital transformation in the agricultural production sector: A pathway to sustainability for emerging economies. Green Technologies and Sustainability, 3(3), 100197. https://doi.org/10.1016/j.grets.2025.100197

9. Baiguzhinova, A., Apysheva, A., Saktayeva, A., Domalatov, Y., Mamyrbekova, D., Kuangaliyeva, T., & Mugauina, R. (2025). Identifying the prospects for sustainable development of the dairy sector. Eastern-European Journal of Enterprise Technologies, 5(137), 81–91. https://doi.org/10.15587/1729-4061.2025.341061

10. Borrero, J. D., & Mariscal, J. (2022). A Case Study of a Digital Data Platform for the Agricultural Sector: A Valuable Decision Support System for Small Farmers. Agriculture, 12(6), 767. https://doi.org/10.3390/agriculture12060767

11. Bustamante, M. J. (2023). Digital platforms as common goods or economic goods? Constructing the worth of a nascent agricultural data platform. Technological Forecasting and Social Change, 192, 122549. https://doi.org/10.1016/j.techfore.2023.122549

12. Chin, S.-W., Rubambiza, G., Zhao, Y., Malek, K., & Weatherspoon, H. (2024). Realtime optimization and management system (ROAM): A decision support system for digital agriculture systems. Smart Agricultural Technology, 8, 100452. https://doi.org/10.1016/j.atech.2024.100452

13. Dibbern, T., Romani, L. A. S., & Massruhá, S. M. F. S. (2024). Main drivers and barriers to the adoption of Digital Agriculture technologies. Smart Agricultural Technology, 8, 100459. https://doi.org/10.1016/j.atech.2024.100459

14. Eastwood, C. R., Edwards, J. P., & Turner, J. A. (2021). Review: Anticipating alternative trajectories for responsible Agriculture 4.0 innovation in livestock systems. Animal, 15(Supplement 1), 100296. https://doi.org/10.1016/j.animal.2021.100296

15. Fakhraddine, M., Zerrad, N., Berhili, H., & Morchid, M. (2025). Digital transformation in Moroccan agriculture: Applications, used technologies, impacts on marketing, limitations, and orientations for future research. Smart Agricultural Technology, 11, 100978. https://doi.org/10.1016/j.atech.2025.100978

16. FAO. (2019). Digital technologies in agriculture and rural areas: Status report. Food and Agriculture Organization of the United Nations. Retrieved December 10, 2025 from https://www.fao.org/3/ca4985en/ca4985en.pdf

17. Fleming, A., Jakku, E., Fielke, S., Taylor, B. M., Lacey, J., Terhorst, A., & Stitzlein, C. (2021). Foresighting Australian digital agricultural futures: Applying responsible innovation thinking to anticipate research and development impact under different scenarios. Agricultural Systems, 190, 103120. https://doi.org/10.1016/j.agsy.2021.103120

18. Gamage, A., Gangahagedara, R., Subasinghe, S., Gamage, J., Guruge, C., Senaratne, S., Randika, T., Rathnayake, C., Hameed, Z., Madhujith, T., & Merah, O. (2024). Advancing sustainability: The impact of emerging technologies in agriculture. Current Plant Biology, 40, 100420. https://doi.org/10.1016/j.cpb.2024.100420

19. Javed, K., Smagghe, G., Wang, Q., Javed, H., & Wang, Y. (2025). Artificial intelligence in crop protection: Revolutionizing agriculture for a sustainable future. Information Processing in Agriculture. Advance online publication. https://doi.org/10.1016/j.inpa.2025.12.003

20. Jouanjean, M., Casalini, F., Wiseman, L., & Gray, E. (2020). Issues around data governance in the digital transformation of agriculture: The farmers’ perspective. OECD Food, Agriculture and Fisheries Papers, No. 146, OECD Publishing, Paris. https://doi.org/10.1787/53ecf2ab-en

21. Kitole, F. A., Mkuna, E., & Sesabo, J. K. (2024). Digitalization and agricultural transformation in developing countries: Empirical evidence from Tanzania agriculture sector. Smart Agricultural Technology, 7, 100379. https://doi.org/10.1016/j.atech.2023.100379

22. 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, 100315. https://doi.org/10.1016/j.njas.2019.100315

23. Kumar, S., & Shah, P. (2025). Digital ESG as a catalyst for achieving the sustainable development goals: A systematic review and bibliometric analysis of digital transformation for a resilient future. Sustainable Futures, 10, 101458. https://doi.org/10.1016/j.sftr.2025.101458

24. Lamanna, M., Muca, E., Giannone, C., Bovo, M., Boffo, F., Romanzin, A., & Cavallini, D. (2025). Artificial intelligence meets dairy cow research: Large language model’s application in extracting daily timeactivity budget data for a meta-analytical study. Journal of Dairy Science, 108(9), 10203–10219. https://doi.org/10.3168/jds.2025-26385

25. MacPherson, J., Rosman, A., Helming, K., & Burkhard, B. (2025). A participatory impact assessment of digital agriculture: A Bayesian network-based case study in Germany. Agricultural Systems, 224, 104222. https://doi.org/10.1016/j.agsy.2024.104222

26. Majdalawieh, M., Martins, C., Radi, M., Alaraj, M., & Khan, S. (2025). Precision agriculture in the age of AI: A systematic review of machine learning methods for crop disease detection. Smart Agricultural Technology, 12, 101491. https://doi.org/10.1016/j.atech.2025.101491

27. Mamabolo, E., Mashala, M. J., Mugari, E., Mogale, T. E., Mathebula, N., Mabitsela, K., & Ayisi, K. K. (2025). Application of precision agriculture technologies for crop protection and soil health. Smart Agricultural Technology, 12, 101270. https://doi.org/10.1016/j.atech.2025.101270

28. Mamun, M. R. A., Ahmed, A. K., Upoma, S. M., Haque, M., & Ashik-E-Rabbani, M. (2025). IoT-enabled solar-powered smart irrigation for precision agriculture. Smart Agricultural Technology, 10, 100773. https://doi.org/10.1016/j.atech.2025.100773

29. Muhammed, D., Ahvar, E., Ahvar, S., Trocan, M., Montpetit, M.-J., & Ehsani, R. (2024). Artificial Intelligence of Things (AIoT) for smart agriculture: A review of architectures, technologies and solutions. Journal of Network and Computer Applications, 228, 103905. https://doi.org/10.1016/j.jnca.2024.103905

30. Narayanamurthy, G., Jayanth, R. S. S., Moser, R., Schaefers, T., & Nagendra, N. P. (2025). Data-driven digital transformation for uncertainty reduction – Application of satellite imagery analytics in institutional crop credit management. International Journal of Production Economics, 280, 109498. https://doi.org/10.1016/j.ijpe.2024.109498

31. Navarro, E., Costa, N., & Pereira, A. (2020). A Systematic Review of IoT Solutions for Smart Farming. Sensors, 20(15), 4231. https://doi.org/10.3390/s20154231

32. Nevi, G., Montera, R., Cucari, N., & Laviola, F. (2025). Integrating AI and ESG in digital platforms: New profiles of platform-based business models. Journal of Engineering and Technology Management, 78, 101913. https://doi.org/10.1016/j.jengtecman.2025.101913

33. Nurmalitasari, N., Nurchim, & Lestari, R. D. (2025). Artificial intelligence-driven solar smart irrigation for sustainable agriculture: Trends, challenges, and SDG implications – A systematic review. Smart Agricultural Technology, 12, 101665. https://doi.org/10.1016/j.atech.2025.101665

34. Ochieng, I. A. (2024). Factors influencing digital platform firms internationalization: A review and research agenda. Journal of Digital Economy, 3, 223–239. https://doi.org/10.1016/j.jdec.2025.04.003

35. OECD. (2022). The digitalisation of agriculture: A literature review and emerging policy issues (OECD Food, Agriculture and Fisheries Papers No. 176). OECD Publishing. Retrieved December 10, 2025 from https://www.oecd.org/content/dam/oecd/en/publications/reports/2022/04/the-digitalisation-of-agriculture_dd2a1973/285cc27d-en.pdf

36. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J. M., Grimshaw, J. M., Hrõbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., McGuinness, L. A., Stewart, L. A., Thomas, J., Tricco, A. C., Welch, V. A., Whiting, P. F., & Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. PLoS Medicine, 18(3), e1003583. https://doi.org/10.1371/journal.pmed.1003583

37. Quan, T., Zhang, H., Quan, T., & Yu, Y. (2024). Unveiling the impact and mechanism of digital technology on agricultural economic resilience. Chinese Journal of Population, Resources and Environment, 22(2), 136–145. https://doi.org/10.1016/j.cjpre.2024.06.004

38. Rocha de Avila, F., & Barbosa, J. L. V. (2025). Smart environments in digital agriculture: A systematic review and taxonomy. Computers and Electronics in Agriculture, 236, 110393. https://doi.org/10.1016/j.compag.2025.110393

39. Santos, F. J., Guzmán, C., & Ahumada, P. (2024). Assessing the digital transformation in agri-food cooperatives and its determinants. Journal of Rural Studies, 105, 103168. https://doi.org/10.1016/j.jrurstud.2023.103168

40. Sargani, G. R., Wang, B., Leghari, S. J., & Ruan, J. (2025). Is digital transformation the key to agricultural strength? A novel approach to productivity and supply chain resilience. Smart Agricultural Technology, 10, 100838. https://doi.org/10.1016/j.atech.2025.100838

41. Shamshiri, R. R., Sturm, B., Weltzien, C., Fulton, J., Khosla, R., Schirrmann, M., Raut, S., Basavegowda, D. H., Yamin, M., & Hameed, I. A. (2024). Digitalization of agriculture for sustainable crop production: A use-case review. Frontiers in Environmental Science, 12, 1375193. https://doi.org/10.3389/fenvs.2024.1375193

42. Stanescu, S.-G., Ionescu, C. A., ¸Stefan, M. C., Ionescu, L., Bondac, G.-T., & Cristea, A. M. (2025). Digitalization and Blockchain Integration in Agri-Food Supply Chains: Towards a Resilient, Circular, and Sustainable Future. Sustainability, 17(20), 9276. https://doi.org/10.3390/su17209276

43. Truant, E., Borlatto, E., Crocco, E., & Sahore, N. (2024). Environmental, social and governance issues in supply chains: A systematic review for strategic performance. Journal of Cleaner Production, 434, 140024. https://doi.org/10.1016/j.jclepro.2023.140024

44. 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

45. Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big data in smart farming. Agricultural Systems, 153, 69–80. https://doi.org/10.1016/j.agsy.2017.01.023

46. World Bank. (2023). Data-driven digital agriculture (Food Systems 2030). World Bank. Retrieved December 10, 2025 from https://thedocs.worldbank.org/en/doc/1a163904ccb86646bf2e5d3d6f427f3d-0090012023/related/WB-DDAG-FA-web.pdf

47. Yu, Z., Liu, H., Peng, H., & Dong, X. (2025). Digital transformation and farm economic performance: Evidence from Chinese dairy farms. Smart Agricultural Technology, 12, 101346. https://doi.org/10.1016/j.atech.2025.101346


Review

For citations:


Akhmetova L., Domalatov Ye., Baiguzhinova A., Dubina I., Bazhigaliyeva M. Digitalization of Agribusiness and its Impact on Productivity and Sustainability: A Systematic Literature Review. Eurasian Journal of Economic and Business Studies. 2026;70(1):88-103. https://doi.org/10.47703/2789-8253-2026-1-88-103

Views: 339

JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2789-8253 (Print)
ISSN 2789-8261 (Online)