Implementation of an IoT-Based Drip Irrigation System for Cucumis melo Cultivation in Greenhouse Environments: Initial Evaluation
DOI:
https://doi.org/10.64570/agrivolution.v1i1.9Keywords:
crop monitoring, drip irrigation, greenhouse, hydroponics, internet of thingsAbstract
The cultivation area for melon (Cucumis melo L.) in Indonesia has been declining despite increasing consumption, necessitating innovative production techniques. This study evaluates the application of the Internet of Things (IoT) in greenhouse-based melon cultivation using an automated drip irrigation system. The system integrates solar-powered sensors and microcontrollers to monitor temperature, humidity, pH, and Total Dissolved Solids (TDS), with real-time feedback via the Blynk application. Melon plants were grown hydroponically (cocopeat: sawdust 1:1) in a 6×12 m greenhouse at P4S Bumiaji Sejahtera, Batu, East Java. Results showed that measured temperature (21.9–30.3 °C) and humidity (57–99.9%) were generally within optimal ranges for melon growth. The TDS of the nutrient solution (≈1860–1894 ppm) was near the recommended 1600–1800 ppm for hydroponic melon. The humidifier operated as intended (ON at 50–70% RH, OFF at 80–90%). Blynk connectivity allowed real-time data display only when the internet was available. Water discharge from the drippers varied widely (10–60 mL/min) across seven points, attributed to emitter placement and backflow. Camera feeds from the greenhouse were viewable in the Blynk app when online, but not when offline. The IoT drip-irrigation system functioned and provided remote monitoring, but sensor issues and uneven flow limited optimal automation. Future work should improve sensor calibration, flow uniformity, and integrate fertigation.
References
Amzeri, A., Badami, K., Khoiri, S., Umam, A. S., Wahid, N., & Nurlaella, S. (2020). Karakter morfologi, heritabilitas dan indeks seleksi terboboti beberapa generasi F1 Melon (Cucumis melo L.). Jurnal Agro, 7(1), 42–51.
Amzeri, A., Badami, K., Zuhri, A., Pawana, G., Suhartono, S., Khoiri, S., Umam, A. S., Asmoro, Y., Rohmatin, S., & Sa’diyah, H. (2022). Assessment of genetic parameters for vitamin A, vitamin C, and TSS content results in melon line crosses at five maturity stages. International Journal of Agronomy, 2022(1), 3661952.
BPS. (2021). Produksi Tanaman Buah-buahan Melon (Ton). https://www.bps.go.id/site/resultTab.
Farooq, M. S., Javid, R., Riaz, S., & Atal, Z. (2022). IoT based smart greenhouse framework and control strategies for sustainable agriculture. IEEE Access, 10, 99394–99420.
Kim, W.-S., Lee, W.-S., & Kim, Y.-J. (2020). A review of the applications of the internet of things (IoT) for agricultural automation. Journal of Biosystems Engineering, 45, 385–400.
Kumar, A., Singh, V., Kumar, S., Jaiswal, S. P., & Bhadoria, V. S. (2022). IoT enabled system to monitor and control greenhouse. Materials Today: Proceedings, 49, 3137–3141.
Monica, E., Khoiri, S., & Amzeri, A. (2022). Evaluasi ketahanan galur melon madura (Cucumis melo L.) terhadap cucumber mosaic virus. Agrovigor: Jurnal Agroekoteknologi, 15(2), 118–125.
Nora, S., Yahya, M., Mariana, M., Herawaty, H., & Ramadhani, E. (2020). Teknik Budidaya Melon Hidroponik dengan Sistem Irigasi Tetes (Drip Irrigation). AGRIUM: Jurnal Ilmu Pertanian, 23(1), 21–26.
Patel, B., Vasa, J., & Shah, P. (2023). IoT concepts, characteristics, enabling technologies, applications and protocol stack: issues and imperatives. International Journal of Wireless and Mobile Computing, 25(4), 397–406.
Radočaj, D., Jurišić, M., & Gašparović, M. (2022). The role of remote sensing data and methods in a modern approach to fertilization in precision agriculture. Remote Sensing, 14(3), 778.
Raza, I., Zubair, M., Zaib, M., Khalil, M. H., Haidar, A., Sikandar, A., Abbas, M. Q., Javed, A., Liaqat, M., & Ain, A. (2023). Precision nutrient application techniques to improve soil fertility and crop yield: A review with future prospect. International Research Journal of Educational and Tecnology.
Rostini, A. N., & Junfithrana, A. P. (2020). Aplikasi smart home node mcu iot untuk blynk. Jurnal Rekayasa Teknologi Nusa Putra, 7(1), 1–7.
Samsuri, S. S., Yusof, M., & Othman, M. A. (2024). Development of Internet of Things (IoT) Based by Using Blynk for Irrigation and Fertigation System. Politeknik & Kolej Komuniti Journal of Engineering and Technology, 9(2), 108–124.
Sandi, G. H., & Fatma, Y. (2023). Pemanfaatan Teknologi Internet of Things (Iot) Pada Bidang Pertanian. JATI (Jurnal Mahasiswa Teknik Informatika), 7(1), 1–5.
Shahab, H., Iqbal, M., Sohaib, A., Khan, F. U., & Waqas, M. (2024). IoT-based agriculture management techniques for sustainable farming: A comprehensive review. Computers and Electronics in Agriculture, 220, 108851.
Sharma, S. (2023). Precision Agriculture: Reviewing the Advancements Technologies and Applications in Precision Agriculture for Improved Crop Productivity and Resource Management. Reviews In Food and Agriculture, 4(2), 45–49.
Sharma, V., Tripathi, A. K., & Mittal, H. (2022). Technological revolutions in smart farming: Current trends, challenges & future directions. Computers and Electronics in Agriculture, 201, 107217.
Shin, M., Yoon, S., Kim, J. H., Jeong, H. J., & Kim, S. K. (2023). Evaluation of Fruit Yield and Quality of Netted Melon, Water and Nutrient Use Efficiency in a Closed Hydroponic System. Journal of Bio-Environment Control, 32(4), 492–500.
Supriyanta, B., Florestiyanto, M. Y., & Widowati, I. (2023). Enhanced Melon Cultivation: An Application of Hydroponic Nutrient Formulation for Superior Yield and Quality. IOP Conference Series: Earth and Environmental Science, 1242(1), 012006.
Utama, H. S., Isa, S. M., & Indragunawan, A. (2006). Perancangan dan Implementasi Sistem Otomatisasi Pemeliharaan Tanaman Hidroponik. Jurnal Teknik Elektro, 8(1), 1–4.
Wang, T., Xu, X., Wang, C., Li, Z., & Li, D. (2021). From smart farming towards unmanned farms: A new mode of agricultural production. Agriculture, 11(2), 145.