Evaluating the efficiency of ‘Waterwise’: A smart automated irrigation system for sustainable water management
Arianney Labvien J. Dangautan, Joanna Y. Remes, Kylla Guia N. Zabala, Liane Luce C. Zapanta, Yuan Ashley O. Tonio, Precylle C. Galido, Angel Lee S. Carpio, & Vianny Nicole P. Montuya
Abstract
Efficient irrigation is essential especially in the areas with limited water resources. However, cost-effective and the availability of automated solutions remain limited, especially for small-scale farmers. This study assesses Waterwise, an Arduino-based irrigation system aimed at optimizing water utilization, improved soil moisture management, and minimizing energy consumption. A true experimental design was employed and conducted in six (6) barangays in Malinao, Aklan, Philippines with thirty (30) farmers selected through accidental sampling. Key performance metrics included water use efficiency (WUE), soil moisture management, and energy use efficiency with findings showing high effectiveness across all areas. WUE recorded a mean score of 4.51, classified as very highly efficient, while soil moisture management obtained an average score of 4.38 and energy efficiency obtained 4.37 average score, both classified as highly efficient. These findings demonstrate the potential of low-cost, automated systems in improving agricultural sustainability. For further implementation, it should include structured user training to support scalability and renewable energy integration in agriculture.
Keywords
efficient irrigation, Arduino, water efficiency, sustainability, cost-effective, energy efficiency
Author information & Contribution
Arianney Labvien J. Dangautan. Senior High School Graduate, Aklan Catholic College.
Joanna Y. Remes. Senior High School Graduate, Aklan Catholic College.
Kylla Guia N. Zabala. Senior High School Graduate, Aklan Catholic College.
Liane Luce C. Zapanta. Senior High School Graduate, Aklan Catholic College.
Yuan Ashley O. Tonio. Senior High School Graduate, Aklan Catholic College.
Precylle C. Galido. Senior High School Graduate, Aklan Catholic College.
Angel Lee S. Carpio. Corresponding author. Bachelor of Secondary Education Major in English. Aklan Catholic College Basic Education – English Coordinator and Senior High School Teacher. Email: gheliecarpio@gmail.com
Vianny Nicole P. Montuya. Bachelor of Secondary Education Major in Science, Senior High School Science Teacher at Aklan Catholic College. Email: viannynicolemontuya@gmail.com
"Authors 1 and 2 conceptualized and designed the research framework. Authors 3 and 4 contributed to the development of the WaterWise product. Authors 5 and 6 were responsible for data acquisition, analysis, and interpretation. Authors 7 and 8 drafted and critically revised the manuscript for important intellectual content. All authors reviewed and approved the final version of the manuscript and agree to be accountable for all aspects of the work, ensuring its accuracy and integrity."
Disclosure statement
No potential conflict of interest was reported by the authors.
Funding
This work was not supported by any funding.
Declaration
The author declares the use of Artificial Intelligence (AI) in writing this paper. In particular, the author used Grammarly in refining sentence structure, Quillbot in summarizing key points and paraphrasing ideas and Claud to refine the clarity of ideas, ensuring the author’s originality of ideas. The author takes full responsibility in ensuring proper review and editing of contents generated using AI.
Notes
This paper has been presented in International Student Research Congress 2026.
Acknowledgement
The authors express their sincere appreciation to Mr. Jobet S. Nerval for his invaluable contribution to the development of the WaterWise product and for his insightful suggestions that significantly improved this study. We also thank the Barangay Captains of Malinao, Aklan and all respondents for their cooperation and participation. Finally, we acknowledge our families and friends for their unwavering support and encouragement throughout the research process.
References
Aarif, K. O. (2025). Smart sensor technologies shaping the future of precision agriculture: Recent advances and future outlooks. Journal of Sensors, 2025, Article 2460098. https://doi.org/10.1155/js/2460098
Almalki, F. A., Alsamhi, S. H., Sahal, R., Hassan, J., Hawbani, A., Rajput, N. S., Saif, A., Morgan, J., & Breslin, J. (2024). Smart sensors and smart data for precision agriculture: A review. Sensors, 24(8), Article 2647. https://doi.org/10.3390/s24082647
Alshawabkeh, T., El-Khouri, R., Alsafadi, K., Ghaleb, B., Harsányi, E., & Javed, A. (2024). Emerging technologies for efficient water use in agriculture: A review of current trends and future directions. Agricultural Water Management, 305, Article 109106. https://doi.org/10.1016/j.agwat.2024.109106
Benyezza, H., Bouhedda, M., & Rebouh, S. (2021). Zoning irrigation smart system based on fuzzy control technology and IoT for water and energy saving. Journal of Cleaner Production, 302, Article 127001. https://doi.org/10.1016/j.jclepro.2021.127001
Bwambale, E., Abagale, F. K., & Anornu, G. K. (2022). Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: A review. Agricultural Water Management, 260, Article 107324. https://doi.org/10.1016/j.agwat.2021.107324
Bwambale, E., Abagale, F. K., & Anornu, G. K. (2023). Model-based smart irrigation control strategy and its effect on water use efficiency in tomato production. Cogent Food & Agriculture, 9(1), Article 2259217. https://doi.org/10.1080/23311916.2023.2259217
Chukalla, A. D., Krol, M. S., & Hoekstra, A. Y. (2015). Green and blue water footprint reduction in irrigated agriculture: Effect of irrigation techniques, irrigation strategies and mulching. Hydrology and Earth System Sciences, 19(12), 4877–4891. https://doi.org/10.5194/hess-19-4877-2015
Colaizzi, P. D., Evett, S. R., Howell, T. A., & Tolk, J. A. (2021). Crop water use and water use efficiency. In Agroclimatology: Linking agriculture to climate (pp. 313–344). American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America.
Cui, W., Xu, H., Yang, J., Yue, W., Zhou, G., Cheng, C., Zhang, S., & Wang, Y. (2025). A monitoring method for agricultural soil moisture using wireless sensors and the Biswas model. Agriculture, 15(3), Article 344. https://doi.org/10.3390/agriculture15030344
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Dehghanpir, S., Bazrafshan, O., Nadi, S., & Jamshidi, S. (2024). Assessing the sustainability of agricultural water use based on water footprints of wheat and rice production. In S. S. Muthu (Ed.), Sustainability and water footprint (Environmental footprints and eco-design of products and processes). Springer. https://doi.org/10.1007/978-3-031-70810-7_3
Fernández, J. E. (2017). Plant-based methods for irrigation scheduling of woody crops. Horticulturae, 3(2), Article 35. https://doi.org/10.3390/horticulturae3020035
Food and Agriculture Organization of the United Nations. (2020). The state of food and agriculture 2020: Overcoming water challenges in agriculture. FAO. https://doi.org/10.4060/cb1447en
Frenken, K., & Gillet, V. (2012). Irrigation water requirement and water withdrawal by country. FAO AQUASTAT Reports. Food and Agriculture Organization of the United Nations.
Gong, L., Yan, J., Chen, Y., An, J., He, L., Zheng, L., & Zou, Z. (2022). An IoT-based intelligent irrigation system with data fusion and a self-powered wide-area network. Journal of Industrial Information Integration, 29, Article 100367. https://doi.org/10.1016/j.jii.2022.100367
Goyal, S., & Sharma, N. (2023). Arduino-based smart irrigation system: A review. Materials Today: Proceedings, 80(3), 3450–3456. https://doi.org/10.1016/j.matpr.2021.07.269
Hedley, C. B., & Yule, I. J. (2009). A method for spatial prediction of daily soil water status for precise irrigation scheduling. Agricultural Water Management, 96(12), 1737–1745. https://doi.org/10.1016/j.agwat.2009.07.009
Hobfoll, S. E. (1989). Conservation of resources: A new attempt at conceptualizing stress. American Psychologist, 44(3), 513–524. https://doi.org/10.1037/0003-066X.44.3.513
Hobfoll, S. E. (2001). The influence of culture, community, and the nested-self in the stress process: Advancing conservation of resources theory. Applied Psychology: An International Review, 50(3), 337–421. https://doi.org/10.1111/1464-0597.00062
Iqbal, M. N., Aoueileyine, M. O. E. H., Ahmad, A., Zamin, M., Guerrero-Ramírez, G., Guerrero, J. M., & Tlili, I. (2024). Advanced technologies of soil moisture monitoring in precision agriculture: A review. Computers and Electronics in Agriculture, 227, Article 109532. https://doi.org/10.1016/j.compag.2024.109532
Jägermeyr, J., Gerten, D., Heinke, J., Schaphoff, S., Kummu, M., & Lucht, W. (2016). Water savings potentials of irrigation systems: Global simulation of processes and linkages. Hydrology and Earth System Sciences, 20(8), 3073–3091. https://doi.org/10.5194/hess-20-3073-2016
Jones, B. A. (2025). Irrigation. In Encyclopedia Britannica. https://www.britannica.com/technology/irrigation
Krishnan, R. S., Julie, E. G., Robinson, Y. H., Raja, S., Kumar, R., Thong, P. H., & Son, L. H. (2020). Fuzzy logic based smart irrigation system using internet of things. Journal of Cleaner Production, 252, Article 119902. https://doi.org/10.1016/j.jclepro.2019.119902
Lakhiar, I. A., Yan, H., Zhang, C., Wang, G., He, B., Hao, B., Han, Y., Wang, B., Bao, R., Syed, T. N., Chauhdary, J. N., & Rakibuzzaman, M. (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), Article 1141. https://doi.org/10.3390/agriculture14071141
Mukherjee, A., Kundu, M., & Sarkar, S. (2022). Role of irrigation and water use efficiency in sustainable agriculture: A review. Journal of Experimental Agriculture International, 44(10), 11–26. https://doi.org/10.9734/jeai/2022/v44i102067
Nawandar, N. K., & Satpute, V. R. (2019). IoT based low cost and intelligent module for smart irrigation system. Computers and Electronics in Agriculture, 162, 979–990. https://doi.org/10.1016/j.compag.2019.05.027
Philippine Statistics Authority. (2023). Selected statistics on agriculture 2023. PSA. https://psa.gov.ph/content/selected-statistics-agriculture-2023
Rayhana, R., Xiao, G., & Liu, Z. (2020). Internet of things empowered smart greenhouse farming. IEEE Journal of Radio Frequency Identification, 4(3), 195–211. https://doi.org/10.1109/JRFID.2020.2984391
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Rosa, L., Chiarelli, D. D., Rulli, M. C., Dell’Angelo, J., & D’Odorico, P. (2020). Global agricultural economic water scarcity. Science Advances, 6(18), eaaz6031. https://doi.org/10.1126/sciadv.aaz6031
Sattar, S., Hussain, A., Ahmad, J., Akram, S., Ali, S., Yasin, M., Khan, M. I., & Shakoor, A. (2025). Energy-efficient smart irrigation technologies: A pathway to water and energy sustainability in agriculture. Agriculture, 15(5), Article 554. https://doi.org/10.3390/agriculture15050554
Hovey, T. (2020). A brief history of irrigation. Optima Inc. https://www.optima.inc/a-brief-history-of-irrigation/
Thaler, E. A., Larsen, I. J., & Yu, Q. (2024). Field-scale crop water consumption estimates reveal potential water savings in California agriculture. Nature Communications, 15, Article 2473. https://doi.org/10.1038/s41467-024-46031-2
Thompson, R. B., Gallardo, M., Valdez, L. C., & Fernández, M. D. (2007). Using plant water status to define threshold values for irrigation management of vegetable crops using soil moisture sensors. Agricultural Water Management, 88(1–3), 147–158. https://doi.org/10.1016/j.agwat.2006.10.007
Vereecken, H., Huisman, J. A., Pachepsky, Y., Montzka, C., van der Kruk, J., Bogena, H., Weihermüller, L., Herbst, M., Martinez, G., & Vanderborght, J. (2014). On the spatio-temporal dynamics of soil moisture at the field scale. Journal of Hydrology, 516, 76–96. https://doi.org/10.1016/j.jhydrol.2013.11.061
Vij, A., Vijendra, S., Jain, A., Bajaj, S., Bassi, A., & Sharma, A. (2020). IoT and machine learning approaches for automation of farm irrigation system. Procedia Computer Science, 167, 1250–1257. https://doi.org/10.1016/j.procs.2020.03.440
Cite this article:
Dangautan, A.L.J., Remes, J.Y., Zabala, K.G.N., Zapanta, L.L.C., Tonio, Y.A.O., Galido, P.C., Carpio, A.L.S. & Montuya, V.N.P. (2026). Evaluating the efficiency of ‘Waterwise’: A smart automated irrigation system for sustainable water management. The Research Probe, 6(1), 1-21. https://doi.org/10.53378/trp.209
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