Published: 2025-04-01
Utilizing IoT Technology for Soil Moisture Management through Integration of pH and Moisture Sensors in an Android Application for Rice Farming
DOI: 10.35870/ijsecs.v5i1.3538
Budi Sutomo, Tri Aristi Saputri, Ilham Wahyu Satria
- Budi Sutomo: Universitas Dharma Wacana , Indonesia
- Tri Aristi Saputri: Universitas Dharma Wacana , Indonesia
- Ilham Wahyu Satria: Universitas Dharma Wacana , Indonesia
Article Metrics
- Views 0
- Downloads 0
- Scopus Citations
- Google Scholar
- Crossref Citations
- Semantic Scholar
- DataCite Metrics
-
If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).
Abstract
In this study, to help address the challenges involved in rice production (especially optimizing soil and crops in dryland areas that are prone to water scarcity and variable soil pH), we leveraged IoT technology. An IoT soil moisture and pH monitoring system to track soil moisture status in real time using ESP8266 microcontroller along with dedicated sensors coupled with Blynk as a user interface. The system provides instant alerts to farmers on mobile devices about irrigation and soil pH modifications, thereby minimizing the direct dependence on time-consuming maintenance of vegetation monitoring. The results from a trial of 28 upland rice plots in dryland agricultural areas showed that the irrigation alert system provided timely irrigation alerts, improved water use efficiency by up to 30% and increased yield by 15–20% compared to conventional techniques. The significance of these findings in terms of practical applications are water resource management, optimal soil conditions for rice farming and to promote sustainable agricultural practices on the other hand. Furthermore, the system can be applied to other crops in a similar manner to enhance food security at national and local scales despite climate change and resource constraints.
Keywords
Internet of Things (IoT) ; Soil Moisture Monitoring ; Upland Rice Farming ; ESP8266 Microcontroller ; Sustainable Agriculture
Article Metadata
Peer Review Process
This article has undergone a double-blind peer review process to ensure quality and impartiality.
Indexing Information
Discover where this journal is indexed at our indexing page to understand its reach and credibility.
Open Science Badges
This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.
How to Cite
Article Information
This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
-
Issue: Vol. 5 No. 1 (2025)
-
Section: Articles
-
Published: %750 %e, %2025
-
License: CC BY 4.0
-
Copyright: © 2025 Authors
-
DOI: 10.35870/ijsecs.v5i1.3538
AI Research Hub
This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.
Budi Sutomo
Informatics Engineering Study Program, Faculty of Business Technology and Science, Universitas Dharma Wacana, Metro City, Lampung Province, Indonesia
Tri Aristi Saputri
Informatics Engineering Study Program, Faculty of Business Technology and Science, Universitas Dharma Wacana, Metro City, Lampung Province, Indonesia
-
-
Putra, R. H., Kusuma, F. T., Damayanti, T. N., & Ramadan, D. N. (2019). IoT: Smart garbage monitoring using Android and real-time database. TELKOMNIKA (Telecommunication Computing Electronics and Control), 17(3), 1483-1491. https://doi.org/10.12928/telkomnika.v17i3.10121
-
-
Montalvo-Romero, N., Montiel-Rosales, A., & Purroy-Vásquez, R. (2023). Agro-technological systems in traditional agriculture assistance: A systematic review. IEEE Access, 11, 123047-123069. https://doi.org/10.1109/ACCESS.2023.3329087
-
Zhao, C., & Li, M. (2018). Highlights in precision agriculture. Frontiers of Agricultural Science and Engineering. Advance online publication. https://doi.org/10.15302/J-FASE-2018246
-
Volkov, R. (2023). Remote sensing in real estate management. Russian Journal of Astrophysical Research Series A, 9(1). https://doi.org/10.13187/rjar.2023.1.28
-
Ioja, I., Nedeff, V., Agop, M., & Nedeff, F. (2024). Some possibilities of the aerial drones use in precision agriculture – A review. Journal of Engineering Studies and Research, 29(4), 43-49. https://doi.org/10.29081/jesr.v29i4.006
-
Jadhav, N., Rajnivas, B., Subapriya, V., Sivaramakrishnan, S., & Premalatha, S. (2023). Enhancing crop growth efficiency through IoT-enabled smart farming system. EAI Endorsed Transactions on Internet of Things, 10. https://doi.org/10.4108/eetiot.4604
-
Pal, S., VijayKumar, H., Akila, D., Jhanjhi, N., Darwish, O., & Amsaad, F. (2023). Information-centric IoT-based smart farming with dynamic data optimization. Computers, Materials & Continua, 74(2), 3865-3880. https://doi.org/10.32604/cmc.2023.029038
-
Yao, Y., & Zhang, Y. (2016). Application of maize precision fertilizer expert system in maize production. https://doi.org/10.2991/icmmct-16.2016.259
-
Xu, H., & Wang, Z. (2021). Classification and recognition of crops based on GIS image. International Journal of Frontiers in Sociology, 3(17). https://doi.org/10.25236/IJFS.2021.031702
-
Lindblom, J., Lundström, C., Ljung, M., & Jönsson, A. (2016). Promoting sustainable intensification in precision agriculture: Review of decision support systems development and strategies. Precision Agriculture, 18(3), 309-331. https://doi.org/10.1007/s11119-016-9491-4
-
Hamed, M., Adam, A., Dawoods, M., & Fangama, I. (2018). Towards implementing the integrated technology of precision agriculture in Sudan. Journal of Agronomy Research, 1(2), 35-45. https://doi.org/10.14302/issn.2639-3166.jar-18-2331
-
Binayao, R. P., Mantua, P. V. L., Namocatcat, H. R. M. P., Seroy, J. K. K. B., Sudaria, P. R. A. B., Gumonan, K. M. V. C., & Orozco, S. M. M. (2024). Smart water irrigation for rice farming through the Internet of Things. arXiv. https://doi.org/10.48550/arXiv.2402.07917
-
Susantok, M., Wibowo, A. U. A., & Akbar, M. (2025). Peningkatan akurasi sistem pemantauan suhu dan kelembapan pada laboratorium pengujian benih tanaman menggunakan inversi regresi linier. Jurnal Teknologi Informasi dan Ilmu Komputer, 12(1), 153-164. https://doi.org/10.25126/jtiik.2025129083
-
Ariyanto, P., Iskandar, A., & Darusalam, U. (2021). Rancang bangun Internet of Things (IoT) pengaturan kelembaban tanah untuk tanaman berbasis mikrokontroler. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 5(2), 112-118. https://doi.org/10.35870/jtik.v5i2.211

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.