Published: 2024-12-01
Precision Agriculture System with IoT: An Approach to Increase Production and Efficiency
DOI: 10.35870/ijsecs.v4i3.3259
Mochammad Rif’an, Kurniawan
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Abstract
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
Keywords
Internet of Things ; Smart Farming ; Greenhouse ; Agricultural ; Real-time Data Collection
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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.
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Issue: Vol. 4 No. 3 (2024)
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Section: Articles
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Published: %750 %e, %2024
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License: CC BY 4.0
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Copyright: © 2024 Authors
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DOI: 10.35870/ijsecs.v4i3.3259
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Mochammad Rif’an
Department of Informatics, Faculty of Industrial Technology, Universitas Islam Indonesia, Yogyakarta City, Special Region of Yogyakarta Province, Indonesia
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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
-
-
-
-
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
-
-
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.
-
-
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.

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