Design of IoT System for Aeroponic Monitoring Based on Smart Agriculture
DOI:
https://doi.org/10.32897/retims.2025.6.2.3795Keywords:
Aeroponics, Smart Farming, Monitoring System, IoT, LettuceAbstract
The use of aeroponic technology is gaining popularity due to its efficiency in land and water utilization, as well as its ability to increase plant productivity. However, its implementation is still limited to the industrial scale, while at home scale it is still rarely applied. This research aims to design and implement a smart farming-based aeroponic monitoring system that can be used on a home scale. This system monitors environmental conditions such as temperature, humidity, water pH, and TDS of nutrient solution in real-time, making it easier to manage plant cultivation. The hardware used involves an ESP32-DevKitC V4 microcontroller integrated with pH, TDS, DHT11, and ultrasonic sensors, with data sent to the Blynk application for remote monitoring. Trials were conducted on bokor lettuce cultivation to evaluate the effectiveness of the system in maintaining optimal plant conditions. The results show that the system is effective in monitoring and controlling environmental variables in home-scale aeroponics. Users receive real-time notifications and can monitor conditions via smartphones, allowing for quick adjustments to environmental changes. The developed monitoring system successfully fulfills the monitoring needs effectively and can be widely implemented for home plant cultivation, contributing to the improvement of crop productivity and quality through smart farming technology.
References
Alreshidi, E. (2019). Smart Sustainable Agriculture (SSA) Solution Underpinned By Internet Of Things (Iot) And Artificial Intelligence (AI). International Journal Of Advanced Computer Science And Applications, 10(5), 93–102. Https://Doi.Org/10.14569/Ijacsa.2019.0100513
Erel, R., Le, T. T., Eshel, A., Cohen, S., Offenbach, R., Strijker, T., & Shtein, I. (2020). Root Development Of Bell Pepper (Capsicum Annuum L.) As Affected By Water Salinity And Sink Strength. Plants, 9(1), 1–13. Https://Doi.Org/10.3390/Plants9010035
Farooq, M. S., Riaz, S., Abid, A., Abid, K., & Naeem, M. A. (2019). A Survey On The Role Of Iot In Agriculture For The Implementation Of Smart Farming. IEEE Access, 7, 156237–156271. Https://Doi.Org/10.1109/ACCESS.2019.2949703
Fathy, C., & Ali, H. M. (2023). A Secure Iot-Based Irrigation System For Precision Agriculture Using The Expeditious Cipher. Sensors, 23(4), 1–16. Https://Doi.Org/10.3390/S23042091
Hugo, A. M., Padilla-Medina, J. A., Mart, C., Martinez-Nolasco, J. J., Barranco-Guti, A. I., Contreras-Medina, L. M., & Leon-Rodriguez, M. (2022). Iot-Based Monitoring System Applied To Aeroponics Greenhouse.
Koukounaras, A. (2021). Advanced Greenhouse Horticulture: New Technologies And Cultivation Practices. Horticulturae, 7(1), 1–5. Https://Doi.Org/10.3390/Horticulturae7010001
Kularbphettong, K., Ampant, U., & Kongrodj, N. (2019). An Automated Hydroponics System Based On Mobile Application. International Journal Of Information And Education Technology, 9(8), 548–552. Https://Doi.Org/10.18178/Ijiet.2019.9.8.1264
Lestari, A., & Zafia, A. (2022). Penerapan Sistem Monitoring Kualitas Air Berbasis Internet Of Things. LEDGER : Journal Informatic And Information Technology, 1(1), 17–24. Https://Doi.Org/10.20895/Ledger.V1i1.776
Pang, Y., Marinello, F., Tang, P., Li, H., & Liang, Q. (2023). Bibliometric Analysis Of Trends In Smart Irrigation For Smart Agriculture. In Sustainability (Switzerland) (Vol. 15, Issue 23, Pp. 1–23). Https://Doi.Org/10.3390/Su152316420
Qazi, S., Khawaja, B. A., & Farooq, Q. U. (2022). Iot-Equipped And AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges And Future Trends. IEEE Access, 10, 21219–21235. Https://Doi.Org/10.1109/ACCESS.2022.3152544
Rajendiran, G., & Rethnaraj, J. (2023). Smart Aeroponic Farming System: Using Iot With LCGM-Boost Regression Model For Monitoring And Predicting Lettuce Crop Yield. International Journal Of Intelligent Engineering And Systems, 16(5), 251–262. Https://Doi.Org/10.22266/Ijies2023.1031.22
Utama, Y., Widianto, Y., Sardjono, T., & Kusuma, H. (2017). Perbandingan Kualitas Antar Sensor Kelembaban Udara Dengan Menggunakan Arduino UNO. Prosiding SNST 2019, 60–65.
Zhang, F., Zhang, Y., Lu, W., Gao, Y., Gong, Y., & Cao, J. (2022). 6G-Enabled Smart Agriculture: A Review And Prospect. Electronics (Switzerland), 11(18), 1–23. Https://Doi.Org/10.3390/Electronics11182845
