Smart Irrigation System with Indigenous Multilingual Mobile Application
DOI:
https://doi.org/10.63746/njtd.v23i1.3378Keywords:
Firebase, Flutter, Indigenous languages, Multi-lingual mobile application, Smart irrigationAbstract
African farmers produce about 80 percent of the food consumed in the African continent yet a large percentage of them are cut off from agricultural innovation due to illiteracy and language barriers. Previous studies have developed mobile applications for smart irrigation systems in English language. This work develops a multilingual mobile App in three major indigenous Nigerian languages Hausa, Yoruba, and Igbo to make the smart irrigation innovation accessible and adaptable to indigenous farmers. The mobile App was developed using Flutter while the English version was translated to indigenous languages. A microcontroller-based laboratory-scale smart irrigation test bed was also developed to which the App was interfaced for testing. Performance evaluation revealed the ability of the App to perform remote control of the irrigation process and display soil moisture, temperature, and humidity of the farm environment on its graphical user interface in English and indigenous languages of Hausa, Yoruba, and Igbo. Further tests under Wi-Fi and Internet network revealed the Wi-Fi network was stable up to 50 meters, beyond which stability declined. The Internet connection remained stable up to 400 km except at certain weak or unavailable coverage points (45 km, 105 km, 210 km). The unique contribution of this work is that while previous studies developed mobile App for smart irrigation system in English language, the multilingual mobile App bridges communication gap and will make smart irrigation technology accessible and adaptable to indigenous farmers in their mother tongues to enhance food security.
References
AltexSoft (2025). The good and the bad of Flutter app development. Available online at: https://www.altexsoft.com/blog/pros-and-cons-of-flutter-app-development/. Accessed on February 2, 2025.
Amery, R. (2017). Recognising the communication gap in Indigenous health care. Medical Journal of Australia, 207(1), 13-15.
Bhardwaj, S.; S. Dhir and M. Hooda (2018). Automatic plant watering system using IoT. In 2018 Second international conference on green computing and Internet of Things (ICGCIoT), Bangalore, Karnataka, India, 659-663, IEEE.
Business Day (2025). Nigeria’s farm yield lowest among peers. Available online at: https://businessday.ng/agriculture/article/nigerias-farm-yield-lowest-among-peers/. Accessed on January 30, 2025.
Edodi, M. U.; O.K. Ogidan and A. Amusan (2022).Smart Irrigation System: A Water and Power Management Approach. In 2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON), Abuja, Nigeria, 1-7. IEEE.
Gamal, Y.; A. Soltan; L.A. Said; A.H. Madian and A.G. Radwan (2023). Smart irrigation systems: Overview. IEEE Access.
Giller, K. E.; T. Delaune; J.V. Silva; M. van Wijk; J. Hammond; K. Descheemaeker and J.A. Andersson (2021). Small farms and development in sub-Saharan Africa: Farming for food, for income or lack of better options?. Food Security, 13(6), 1431-1454.
Github (2025). Smart Irrigation with ESP32 and Flutter Android Application, Available online at: https://github.com/simm36465/Smart-irrigation. Accessed on February 4, 2025.
IFAD (2025). Invest more in smallholder agriculture. Available online at: https://www.ifad.org/thefieldreport/#:~:text=Smallholder%20farmers%20grow%20the%20food,diversified%20farms%20and%20food%20products. Accessed on January 30, 2025.
Lawal, O. A. (2015). Indigenous languages as tools for effective communication of science and technology for food production in Nigeria. Theory and practice in language studies, 5(3), 463.
Liao, R.; S. Zhang; X. Zhang; M. Wang; H. Wu and L. Zhangzhong (2021). Development of smart irrigation systems based on real-time soil moisture data in a greenhouse: Proof of concept. Agricultural Water Management, 245, 106632.
Lorvanleuang, S., and Zhao, Y. (2018). Automatic irrigation system using Android. Open Access Library Journal, 5(4), 1-7.
Obaideen, K.; B.A. Yousef; M.N. AlMallahi; Y.C. Tan; M. Mahmoud; H. Jaber and M. Ramadan (2022). An overview of smart irrigation systems using IoT. Energy Nexus, 7, 100124.
Ogidan, O. K., and Afia, K. R. (2019). Smart irrigation system with an Android-based remote logging and control. In 2019 IEEE AFRICON, Accra, Ghana, 1-4. IEEE.
Ogidan, O. K.; A.E. Onile and O.G. Adegboro (2019). Smart irrigation system: a water management procedure. Agricultural Sciences, 10, 25-31. https://doi.org/10.4236/as.2019.101003
Patankar, N.; M. Charmal; N. Bhaskar; S. Janrao and A. Kamble (2021). A Wi-Fi based smart irrigation monitoring for an agricultural environment. In Recent Trends in Intensive Computing (pp. 513-522). IOS Press.
Podcaster (2024). Flutter Localization - Official Documentation. Available online at:
https://www.youtube.com/watch?v=WrqH5fF2ZuY.Accessed on February 4, 2025.
Sathiaseelan (2023). NodeMCU-based wireless
sensing for smart agriculture: A case study. Smart irrigation system tutorial. (n.d.). GitHub. Available online at: https://github.com/simm36465/Smart-irrigationTFK. Accessed on December 3, 2023.
Singh, D.; A.K. Biswal; D. Samanta; V. Singh; S. Kadry; A. Khan and Y. Nam (2023a). Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things. Frontiers in Plant Science, 14, 1239594.
Singh A. K.; P. Praveen; D. Tripathi; V. P.
Pandey; and P. Verma (2023b). Revolutionizing Agriculture with Cloud-Connected Irrigation Technology. In Smart Village Infrastructure and Sustainable Rural Communities (pp. 184-207). IGI Global.
Statistica (2025). Primary languages spoken at home in Nigeria as of 2022. Available online at: https://www.statista.com/statistics/1268798/main-languages-spoken-at-home-in-nigeria/#:~:text=The%20primary%20languages%20spoken%20at,as%20their%20main%20family%20language. Accessed on January 30, 2025.
Sumithra M. G.; M. Sathyamoorthy; M. Manikandan; R. K. Dhanaraj; and M. Ouaissa (2024). Computational Intelligence in Internet of Agricultural Things. Springer.
UN women Africa (2025). Nigeria. Available online at: https://africa.unwomen.org/en/where-we-are/west-and-central-africa/nigeria#:~:text=Nigeria%20is%20the%20most%20populous,covering%20about%20924%2C000%20square%20kilometres. Accessed on January 30, 2025.
Vallejo-Gomez D.; M. Osorio; and C. A. Hincapie (2023). Smart irrigation systems in agriculture: A systematic review. Agronomy, 13(2), 342.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Nigerian Journal of Technological Development

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
In accordance with the Copyright Act of 1976, which became effective January 1, 1978, the following statement signed by each author must accompany the manuscript submitted: "I, the undersigned author, transfer all copyright ownership of the manuscript referenced above to the Nigerian Journal of Technological Development, in the event the work is published. I warrant that the article is original, does not infringe upon any copyright or other proprietary right of any third party, is not under consideration by another journal, and has not been published previously. I have reviewed and approved the submitted version of the manuscript and agree to its publication in the Nigerian Journal of Technological Development." A copyright transfer form can be downloaded from the NJTD Website (http://njtd.com.ng/index.php/njtd). Author(s) will be consulted, whenever possible, regarding republication of material. All authors must have access to the data presented, and the authors and sponsor (if applicable) must agree to share original data with the editor if requested.
