Smart Farming Implementation Strategies to Improve Water Resource Efficiency on Farmland

Authors

  • Joko Wibowo Universitas Gadjah Mada Author
  • Kartika Lestari Universitas Gadjah Mada Author
  • Laras Putri Universitas Brawijaya Author

Keywords:

Smart farming, Water efficiency, Digital agriculture, Precision irrigation

Abstract

This study aims to analyze smart farming implementation strategies to improve water resource efficiency on farmland. The issue is important because conventional irrigation practices often rely on farmer intuition, fixed schedules, and limited water availability, which may lead to inefficient water use. This research employed a qualitative case study design to explore farmers’ experiences, perceptions, and adaptation strategies in using smart farming technologies. Data were collected through semi-structured interviews, limited participatory observation, and documentation involving farmers, farmer group leaders, agricultural extension officers, technology providers, and local agricultural stakeholders selected through purposive and snowball sampling. The data were analyzed using thematic analysis supported by data reduction, data display, and conclusion drawing. The findings reveal four main themes: improved awareness of water efficiency, selective technology adoption based on usefulness and trust, the role of institutional and social support, and contextual adaptation of smart farming practices to local field conditions. These findings show that smart farming works effectively when digital tools are aligned with farmers’ knowledge, technical support, and local agricultural routines. The study contributes to socio-technical perspectives on digital agriculture and offers practical insights for designing inclusive, affordable, and sustainable smart farming programs. Future research should compare different agricultural regions, crop types, and irrigation systems to strengthen broader understanding of smart farming adoption.

References

Aisyah, N., Ulhaq, E. D., Dharmawan, A., & Purbakawaca, R. (2025). Design of an IoT-based smart irrigation system using soil moisture sensors for water efficiency. Journal of Physics, 11(1). https://doi.org/10.22437/jop.v11i1.48928

Ali, A., Hussain, T., & Zahid, A. (2025). Smart irrigation technologies and prospects for enhancing water use efficiency for sustainable agriculture. AgriEngineering, 7(4), 106. https://doi.org/10.3390/agriengineering7040106

Braun, V., & Clarke, V. (2021). One size fits all? What counts as quality practice in reflexive thematic analysis? Qualitative Research in Psychology, 18(3), 328–352. https://doi.org/10.1080/14780887.2020.1769238

Braun, V., & Clarke, V. (2022). Toward good practice in thematic analysis: Avoiding common problems and becoming a knowing researcher. International Journal of Transgender Health, 24(1), 1–6. https://doi.org/10.1080/26895269.2022.2129597

Gumbi, N., Gumbi, L., & Twinomurinzi, H. (2023). Towards sustainable digital agriculture for smallholder farmers: A systematic literature review. Sustainability, 15(16), 12530. https://doi.org/10.3390/su151612530

Jaiswal, N., Singh, A., & Kumar, R. (2025). Smart drip irrigation systems using IoT: A review. Discover Applied Sciences, 7, 430. https://doi.org/10.1007/s44279-025-00430-1

Kiger, M. E., & Varpio, L. (2020). Thematic analysis of qualitative data: AMEE Guide No. 131. Medical Teacher, 42(8), 846–854. https://doi.org/10.1080/0142159X.2020.1755030

Klerkx, L., & Rose, D. (2020). Dealing with the game-changing technologies of agriculture 4.0: How do we manage diversity and responsibility in food system transition pathways? Global Food Security, 24, 100347. https://doi.org/10.1016/j.gfs.2019.100347

Lakhiar, I. A., Yan, H., Zhang, C., Wang, G., He, B., Hao, B., Syed, T. N., Chandio, F. A., & Qureshi, W. A. (2024). A review of precision irrigation water-saving technology under changing climate for enhancing water use efficiency, crop yield, and environmental footprints. Agriculture, 14(7), 1141. https://doi.org/10.3390/agriculture14071141

Li, W., Clark, B., Taylor, J. A., Kendall, H., Jones, G., Li, Z., Jin, S., Zhao, C., Yang, G., Shuai, C., Cheng, X., Chen, J., Yang, H., & Frewer, L. J. (2020). A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems. Computers and Electronics in Agriculture, 172, 105305. https://doi.org/10.1016/j.compag.2020.105305

Lim, W. M. (2025). What is qualitative research? An overview and guidelines. Australasian Marketing Journal. https://doi.org/10.1177/14413582241264619

Liu, W., Shao, X. F., Wu, C. H., & Qiao, P. (2021). A systematic literature review on applications of information and communication technologies and blockchain technologies for precision agriculture development. Journal of Cleaner Production, 298, 126763. https://doi.org/10.1016/j.jclepro.2021.126763

Manzoor, F., Wei, L., & Siraj, M. (2025). Digital agriculture technology adoption in low- and middle-income countries: A systematic review. Frontiers in Sustainable Food Systems, 9, 1621851. https://doi.org/10.3389/fsufs.2025.1621851

Mohammed, M., Riad, K., & Alqahtani, N. (2021). Efficient IoT-based control for a smart subsurface irrigation system to enhance irrigation management of date palm. Sensors, 21(12), 3942. https://doi.org/10.3390/s21123942

Mtisi, S. (2022). The qualitative case study research strategy as applied on a rural enterprise development doctoral research project. International Journal of Qualitative Methods, 21, 1–13. https://doi.org/10.1177/16094069221145849

Obaideen, K., Yousef, B. A. A., AlMallahi, M. N., Tan, Y. C., Mahmoud, M., Jaber, H., & Ramadan, M. (2022). An overview of smart irrigation systems using IoT. Energy Nexus, 7, 100124. https://doi.org/10.1016/j.nexus.2022.100124

Oğuztürk, G. E. (2025). AI-driven irrigation systems for sustainable water management: A systematic review and meta-analytical insights. Smart Agricultural Technology, 10, 100982. https://doi.org/10.1016/j.atech.2025.100982

Porciello, J., Coggins, S., Mabaya, E., & Otunba-Payne, G. (2022). Digital agriculture services in low- and middle-income countries: A systematic scoping review. Global Food Security, 34, 100640. https://doi.org/10.1016/j.gfs.2022.100640

Ronaghi, M. H., & Forouharfar, A. (2020). A contextualized study of the usage of the Internet of Things in smart farming in a typical Middle Eastern country within the context of the Unified Theory of Acceptance and Use of Technology model. Technology in Society, 63, 101415. https://doi.org/10.1016/j.techsoc.2020.101415

Ruzzante, S., Labarta, R., & Bilton, A. (2021). Adoption of agricultural technology in the developing world: A meta-analysis of the empirical literature. World Development, 146, 105599. https://doi.org/10.1016/j.worlddev.2021.105599

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Published

2026-05-01

How to Cite

Smart Farming Implementation Strategies to Improve Water Resource Efficiency on Farmland. (2026). Global Journal of Agricultural Engineering, 1(1), 16-22. https://ejournal.globalterasfana.com/gjage/article/view/101