Precision Agriculture System with IoT: An Approach to Increase Production and Efficiency
DOI:
https://doi.org/10.35870/ijsecs.v4i3.3259Keywords:
Internet of Things, Smart Farming, Greenhouse, Agricultural, Real-time Data CollectionAbstract
The application of IoT technology in the agricultural industry has significantly increased efficiency and productivity. In this study, a smart irrigation system that utilizes soil temperature and humidity sensors and NodeMCU ESP8266 and ESP32 units will be explained for its implementation. The NRF24L01 module is a wireless sensor module used to transmit data wirelessly and allows it to cover a wide range. Now, farmers can monitor and control the irrigation system remotely through the Blynk application. Tests show that crops managed through the IoT system have more consistent soil and air conditions and more efficient temperature and humidity control. Therefore, this precision agriculture system utilizes IoT and NRF24L01 to improve water and energy efficiency and encourage sustainability efforts in addressing climate change and increasing global food demand
Downloads
References
Wijaya, A., & Rivai, M. (2018). Monitoring dan kontrol sistem irigasi berbasis IoT menggunakan Banana Pi. Jurnal Teknik ITS, 7(2), A288-A292. http://dx.doi.org/10.12962/j23373539.v7i2.31113
Taufik, A. P. (2022). Sejarah Dan Pemanfaatan IoT di Era Industri 4.0. Jurnal Portal Data, 2(4).
Gunadi, I. G. A., & Rachmawati, D. O. (2022). Review Penggunaan Sensor Pada Aplikasi IOT. Wahana Matematika dan Sains: Jurnal Matematika, Sains, dan Pembelajarannya, 16(3).
Suryatini, F., Maimunah, M., & Fauzandi, F. I. (2018). Sistem Akuisisi Data Suhu Dan Kelembaban Tanah Pada Irigasi Tetes Otomatis Berbasis Internet Of Things. Prosiding Semnastek.
Kresna A, I. (2022). Perancangan Sistem Irigasi Berbasis IoT pada Sawah Padi di Kecamatan Wangon, Kabupaten Banyumas. Journal Informatic and Information Technology, 1(3), 1–9. https://doi.org/10.20895/ledger.v1i3.736
Af’idah, D., Rochim, A., & Widianto, E. (2014). Perancangan Jaringan Sensor Nirkabel (JSN) untuk Memantau Suhu dan Kelembaban Menggunakan NRF24L01+. Jurnal Teknologi dan Sistem Komputer, 2(4), 267–276. https://doi.org/10.14710/jtsiskom.2.4.2014.267-276
Pratama, A. R., Hannats, M., Ichsan, H., & Kusyanti, A. (2019). Implementasi Algoritme AES Pada Pengiriman Data Sensor DHT11 Menggunakan Protokol Komunikasi HTTP. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 3(4), 3781–3789.
Sukanteri, N. P., Suparyana, P. K., Suryana, I. M., & Setyawan, I. M. D. (2019). Penerapan IoT pada Sistem Monitoring Irigasi (Smart Irigasi). Jurnal Infotronik, 3(2), 95–102. https://doi.org/10.32897/infotronik.2018.3.2.108
Rahim, A. A. M., Fadzil, N. H. H. N., Kahar, M. F. S., Ibrahim, T. T. N. T., & Kejuruteraan Elektrik, J. (2022). Pertanian Pintar menggunakan IoT. Multidisciplinary Applied Research and Innovation, 3(1), 422–428. https://doi.org/10.30880/mari.2022.03.01.049
Rihhadatulaisy, Z. H., & Irianto, K. D. (2024). Designing an Automatic Room Temperature Control System for Smart Homes for the Elderly Using IoT. International Journal Software Engineering and Computer Science (IJSECS), 4(2), 758–766. https://doi.org/10.35870/ijsecs.v4i2.2844
Irianto, K. D. (2023). Pre-SEMMS: A Design of Prepaid Smart Energy Meter Monitoring System for Household Uses Based on Internet of Things. Journal of Electronics, Electromedical Engineering, and Medical Informatics, 5(2), 69–74. https://doi.org/10.35882/jeemi.v5i2.282
Prasetyo, A., Yusuf, A. R., & Litanianda, Y. (2020). Otomasi Irigasi Janggelan Berbasis Internet Of Things. Multitek Indonesia, 13(2), 104-109. http://dx.doi.org/10.24269/mtkind.v13i2.1763
Setiadi, D., & Muhaemin, M. N. A. (2018). Penerapan internet of things (IOT) pada sistem monitoring irigasi (Smart Irigasi). Infotronik: Jurnal Teknologi Informasi dan Elektronika, 3(2), 95-102. https://doi.org/10.32897/infotronik.2018.3.2.108
Daru, A. F., Adhiwibowo, W., & Hirzan, A. M. (2021). Model Pemantau Kelembaban dan Irigasi Sawah Otomatis Berbasiskan Internet of Things. Komputika : Jurnal Sistem Komputer, 10(2), 119–127. https://doi.org/10.34010/komputika.v10i2.4515.
Susha Lekshmi, S. U., Singh, D. N., Tarantino, A., & Baghini, M. S. (2018). Evaluation of the performance of TDR and capacitance techniques for soil moisture measurement. Geotechnical Testing Journal, 41(2), 292-306. https://doi.org/10.1520/GTJ20160240
He, H., Aogu, K., Li, M., Xu, J., Sheng, W., Jones, S. B., ... & Lv, J. (2021). A review of time domain reflectometry (TDR) applications in porous media. Advances in agronomy, 168, 83-155. https://doi.org/10.1016/bs.agron.2021.02.003
Mokhtar, A., Al-Ansari, N., El-Ssawy, W., Graf, R., Aghelpour, P., He, H., ... & Abuarab, M. (2023). Prediction of irrigation water requirements for green beans-based machine learning algorithm models in arid region. Water resources management, 37(4), 1557-1580. https://doi.org/10.1007/s11269-023-03443-x
Virnodkar, S. S., Pachghare, V. K., Patil, V. C., & Jha, S. K. (2020). Remote sensing and machine learning for crop water stress determination in various crops: a critical review. Precision Agriculture, 21(5), 1121-1155. https://doi.org/10.1007/s11119-020-09711-9
Krishnan, R. S., Julie, E. G., Robinson, Y. H., Raja, S., Kumar, R., & Thong, P. H. (2020). Fuzzy logic based smart irrigation system using internet of things. Journal of Cleaner Production, 252, 119902. https://doi.org/10.1016/j.jclepro.2019.119902
Abioye, E. A., Abidin, M. S. Z., Mahmud, M. S. A., Buyamin, S., Ishak, M. H. I., Abd Rahman, M. K. I., ... & Ramli, M. S. A. (2020). A review on monitoring and advanced control strategies for precision irrigation. Computers and Electronics in Agriculture, 173, 105441. https://doi.org/10.1016/j.compag.2020.105441.
Lakhiar, I. A., Yan, H., Zhang, C., Wang, G., He, B., Hao, B., ... & 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), 1141.
Ahmed, Z., Gui, D., Murtaza, G., Yunfei, L., & Ali, S. (2023). An overview of smart irrigation management for improving water productivity under climate change in drylands. Agronomy, 13(8), 2113. https://doi.org/10.3390/agronomy13082113.
Downloads
Published
Issue
Section
Categories
License
Copyright (c) 2024 Mochammad Rif’an, Kurniawan

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.
