Multi-Hop Mesh IoT System for Environmental Monitoring and Controlled Irrigation of Horticultural Crops

Authors

  • Rizki Achmad Rifa'I Warno Sekolah Vokasi IPB University Author

DOI:

https://doi.org/10.62535/zddcj087

Keywords:

Internet of Things, mesh network, packet delivery ratio, precision irrigation, wireless sensor network

Abstract

Sustained environmental monitoring of horticultural crops in open fields is difficult to perform manually, and single-link wireless sensor networks confine coverage to the range of one radio hop. This study developed and evaluated a mesh-based Internet of Things system for multi-point monitoring and controlled irrigation. The system comprises five ESP32-C3 Mini nodes carrying DHT22, BH1750 and capacitive soil moisture sensors, and one ESP32 WROOM-32U gateway driving a 12 V relay and pump. Measurements are relayed through painlessMesh, timestamped at the gateway, stored in Firebase Realtime Database and presented on a web dashboard. Network performance was measured over 15 field sessions comprising 1,500 packets, with nodes placed 6.2 to 18.1 m from the gateway. The system achieved a packet delivery ratio of 96.2% and a mean round-trip delay of 398.5 ms; one-hop nodes reached 97.3% and 333.7 ms whereas two-hop nodes reached 94.5% and 495.7 ms. Hop count rather than distance or signal strength governed performance, since two-hop nodes recorded an 11 dB stronger first-hop signal yet delivered fewer packets. Relay nodes drew 71.00 mA against 3.07 mA for leaf nodes, and irrigation operated in both manual and automatic modes.

References

Abdelmoneim, A. A., Al Kalaany, C. M., Khadra, R., Derardja, B., & Dragonetti, G. (2025). Calibration of low-cost capacitive soil moisture sensors for irrigation management applications. Sensors, 25(2), 343. https://doi.org/10.3390/s25020343

Adla, S., Rai, N. K., Karumanchi, S. H., Tripathi, S., Disse, M., & Pande, S. (2020). Laboratory calibration and performance evaluation of low-cost capacitive and very low-cost resistive soil moisture sensors. Sensors, 20(2), 363. https://doi.org/10.3390/s20020363

Adu-Manu, K. S., Engmann, F., Sarfo-Kantanka, G., Baiden, G. E., & Dulemordzi, B. A. (2022). WSN protocols and security challenges for environmental monitoring applications: A survey. Journal of Sensors, 2022, 1628537. https://doi.org/10.1155/2022/1628537

Airlangga, R. P. P., Sudarsono, & Amarillis, S. (2023). Pengaruh cekaman kering terhadap respon pertumbuhan cabai merah pada fase vegetatif. Buletin Agrohorti, 11(2), 297–306. https://doi.org/10.29244/agrob.v11i2.46935

Amaliah, W., Syukur, M., & Suhardiyanto, H. (2018). Pengaruh pendinginan daerah perakaran terhadap produksi cabai (Capsicum annuum L.) di dalam rumah tanaman kawasan tropika. Jurnal Hortikultura Indonesia, 9(2), 139–147. https://doi.org/10.29244/jhi.9.2.139-147

Azri, A. M. (2024). Pengembangan soil station pada Felova sebagai pemantau kualitas tanah di Rumah Jahe BSIP-TROA (Undergraduate thesis). IPB University, Bogor, Indonesia. Retrieved from https://repository.ipb.ac.id/handle/123456789/158105

Badan Pusat Statistik. (2025). Statistik hortikultura 2024. Jakarta, Indonesia: Badan Pusat Statistik. Retrieved from https://www.bps.go.id/id/publication/2025/06/10/aab67e4d36ea6d7bed30d79f/statistik-hortikultura-2024.html

Bhujel, A., Basak, J. K., Khan, F., Arulmozhi, E., Jaihuni, M., Sihalath, T., … Kim, H. T. (2020). Sensor systems for greenhouse microclimate monitoring and control: A review. Journal of Biosystems Engineering, 45(4), 341–361. https://doi.org/10.1007/s42853-020-00075-6

Cotrim, J. R., & Kleinschmidt, J. H. (2020). LoRaWAN mesh networks: A review and classification of multihop communication. Sensors, 20(15), 4273. https://doi.org/10.3390/s20154273

Dwiyana, A. (2025). Sistem paranet otomatis berbasis suhu dan cahaya dengan perintah suara untuk pengaturan lingkungan di greenhouse (Undergraduate thesis). IPB University, Bogor, Indonesia. Retrieved from https://repository.ipb.ac.id/handle/123456789/165901

Efendi, A., Ammarullah, M. I., Isa, I. G. T., Sari, M. P., Izza, J. N., Nugroho, Y. S., … Alfian, D. (2025). IoT-based elderly health monitoring system using Firebase cloud computing. Health Science Reports, 8(3), e70498. https://doi.org/10.1002/hsr2.70498

Espressif Systems. (2026). ESP32-C3 series datasheet (Version 2.4). Shanghai, China: Espressif Systems. Retrieved from https://www.espressif.com/sites/default/files/documentation/esp32-c3_datasheet_en.pdf

Fahrezi, R. A. (2024). Perancangan sistem pemantauan parameter budidaya pertanian pada lingkungan terkendali berbasis Internet of Things (Undergraduate thesis). IPB University, Bogor, Indonesia. Retrieved from https://repository.ipb.ac.id/handle/123456789/156334

Ferentinos, K. P., Katsoulas, N., Tzounis, A., Bartzanas, T., & Kittas, C. (2017). Wireless sensor networks for greenhouse climate and plant condition assessment. Biosystems Engineering, 153, 70–81. https://doi.org/10.1016/j.biosystemseng.2016.11.005

Hercog, D., Lerher, T., Truntič, M., & Težak, O. (2023). Design and implementation of ESP32-based IoT devices. Sensors, 23(15), 6739. https://doi.org/10.3390/s23156739

Hidayat, D., & Broto, P. E. (2025). Analisis karakteristik sensor BH1750 berbasis mikrokontroler pada pengukuran intensitas cahaya. Jurnal Sains Fisika, 5(2), 1–11. https://doi.org/10.24252/sainfis.v5i2.63950

Hodson, T. O. (2022). Root-mean-square error (RMSE) or mean absolute error (MAE): When to use them or not. Geoscientific Model Development, 15(14), 5481–5487. https://doi.org/10.5194/gmd-15-5481-2022

Jonathan, R., & Suprihadi. (2023). Development of front-end web applications utilizing single page application framework and React.js library. International Journal of Software Engineering and Computer Science, 3(3), 529–536. https://doi.org/10.35870/ijsecs.v3i3.1943

Khan, A. U., Khan, M. E., Hasan, M., Zakri, W., Alhazmi, W., & Islam, T. (2022). An efficient wireless sensor network based on the ESP-MESH protocol for indoor and outdoor air quality monitoring. Sustainability, 14(24), 16630. https://doi.org/10.3390/su142416630

Kochhar, A., & Kumar, N. (2019). Wireless sensor networks for greenhouses: An end-to-end review. Computers and Electronics in Agriculture, 163, 104877. https://doi.org/10.1016/j.compag.2019.104877

Križanović, V., Grgić, K., Spišić, J., & Žagar, D. (2023). An advanced energy-efficient environmental monitoring in precision agriculture using LoRa-based wireless sensor networks. Sensors, 23(14), 6332. https://doi.org/10.3390/s23146332

Lanza-Gutiérrez, J. M., Caballé, N., Gómez-Pulido, J. A., Crawford, B., & Soto, R. (2019). Toward a robust multi-objective metaheuristic for solving the relay node placement problem in wireless sensor networks. Sensors, 19(3), 677. https://doi.org/10.3390/s19030677

Lee, S. Y., Lee, I. B., Yeo, U. H., Kim, R. W., & Kim, J. G. (2019). Optimal sensor placement for monitoring and controlling greenhouse internal environments. Biosystems Engineering, 188, 190–206. https://doi.org/10.1016/j.biosystemseng.2019.10.005

Manik, J. S. R., Yuaziva, A., Maulidya, I., Fakhirah, S. F., & Siskandar, R. (2026). Digitalization of forestry museum visiting services through the implementation of a reservation and scheduling platform. Journal of Applied Science, Technology & Humanities, 3(3), 1185–1217. https://doi.org/10.62535/h1seca22

Mindara, G. P., Sholihah, W., Novianty, I., Fathonah, L., Marcelita, F., Siskandar, R., … Firdaus, N. R. (2025). Calibration of dissolved oxygen sensors in IoT systems for water quality monitoring in aquaculture. SPEKTRA: Jurnal Fisika dan Aplikasinya, 10(3), 215–230. https://doi.org/10.21009/SPEKTRA.103.06

Mowla, M. N., Mowla, N., Shah, A. F. M. S., Rabie, K. M., & Shongwe, T. (2023). Internet of Things and wireless sensor networks for smart agriculture applications: A survey. IEEE Access, 11, 145813–145852. https://doi.org/10.1109/ACCESS.2023.3346299

Nizam, M., Maghfiroh, H., Irfani, B., Inayati, I., & Ma’arif, A. (2022). Designing and prototyping of lithium-ion charging system using multi-step constant current method. World Electric Vehicle Journal, 13(10), 178. https://doi.org/10.3390/wevj13100178

Novianty, I., Ferdika, A., Sholihah, W., Siskandar, R., & Sari, I. P. (2019). Design of portable weather station using MQTT protocol. In 2019 2nd International Conference of Computer and Informatics Engineering (IC2IE) (pp. 199–202). Piscataway, NJ: IEEE.

Nurhayati, S., Supriadi, & Rihartanto. (2026). Analisis akurasi dan stabilitas sensor kelembapan tanah kapasitif V1.2 dan V2.0 terhadap Three Way Meter. Jurnal Penelitian Inovatif, 6(2), 1803–1812. https://doi.org/10.54082/jupin.2497

painlessMesh. (2016). painlessMesh [Computer software]. Retrieved from https://gitlab.com/painlessMesh/painlessMesh

Priyono, A., & Triadyaksa, P. (2020). Sistem penyiram tanaman cabai otomatis untuk menjaga kelembapan tanaman berbasis ESP8266. Berkala Fisika, 23(3), 91–100.

Santos, L. S., Costa, T. C., Caldeira, J. M. L. P., & Soares, V. N. G. J. (2022). Performance assessment of ESP8266 wireless mesh networks. Information, 13(5), 210. https://doi.org/10.3390/info13050210

Schwamback, D., Persson, M., Berndtsson, R., Bertotto, L. E., Kobayashi, A. N. A., & Wendland, E. C. (2023). Automated low-cost soil moisture sensors: Trade-off between cost and accuracy. Sensors, 23(5), 2451. https://doi.org/10.3390/s23052451

Shamshiri, R. R., Kalantari, F., Ting, K. C., Thorp, K. R., Hameed, I. A., Weltzien, C., … Shad, Z. M. (2018). Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban agriculture. International Journal of Agricultural and Biological Engineering, 11(1), 1–22. https://doi.org/10.25165/j.ijabe.20181101.3210

Siskandar, R., & Kusumah, B. R. (2019). Design and construction of control devices for aquaponic monitoring management. Aquacultura Indonesiana, 20(2), 16–23. https://doi.org/10.21534/ai.v20i2.151

Siskandar, R., Hidayat, A., Martini, R., Ristianingrum, A., Manalu, D. S. T., Priatna, W. B., … Zulqisthi, D. (2024). SoltarinE: Solar charging station eco friendly as a charging solution for electric farm machinery. E3S Web of Conferences, 577, 01011. https://doi.org/10.1051/e3sconf/202457701011

Siskandar, R., Mandang, T., Hermawan, W., & Irzaman, I. (2023a). Engineering of information monitoring system sensor reading data based on smart wireless using NVIDIA Jetson Nano and Arduino Mega on agricultural spraying machines. Jurnal Teknik Pertanian Lampung, 12(4), 921–936. https://doi.org/10.23960/jtep-l.v12i4.921-936

Siskandar, R., Mandang, T., Hermawan, W., & Irzaman, I. (2023b). Thin film potential Ba0.5Sr0.5TiO3 (BST) doped with RuO2 6% as a light detecting sensor at solar tracker ALSINTAN system in microcontroller-based. Biointerface Research in Applied Chemistry, 13(6), 545. https://doi.org/10.33263/BRIAC136.545

Siskandar, R., Santosa, S. H., Wiyoto, Kusumah, B. R., & Hidayat, A. P. (2022). Control and automation: Insmoaf (Integrated Smart Modern Agriculture and Fisheries) on the greenhouse model. Jurnal Ilmu Pertanian Indonesia, 27(1), 141–152. https://doi.org/10.18343/jipi.27.1.141

Siskandar, R., Wiyoto, W., Hendriana, A., Ekasari, J., Kusumah, B. R., Halim, G., & Nugraha, I. J. (2022). Automated redox monitoring system (ARMS): An instrument for measuring dissolved oxygen levels using a potential redox sensor (ORP) in a prototype of shrimp farming pond with an internet-based monitoring system. Journal of Aquaculture and Fish Health, 11(2), 238–246. https://doi.org/10.20473/jafh.v11i2.31487

Siskandar, R., Wiyoto, W., Santosa, S. H., Hidayat, A. P., Kusumah, B. R., & Darmawan, M. D. M. (2023). Prediction of freshwater fish disease severity based on fuzzy logic approach, Arduino IDE and Proteus ISIS. Universal Journal of Agricultural Research, 11(6), 1089–1101. https://doi.org/10.13189/ujar.2023.110616

Siskandar, R., Wiyoto, W., Santosa, S. H., Sari, J. E., Darmawangsa, G. M., Hidayat, A. P., … Kusumah, B. R. (2023). Potential readings of water turbidity values based on optical sensors on fish-rearing biofloc media. Photonics Letters of Poland, 15(1), 1–3. https://doi.org/10.4302/plp.v15i1.1176

Tzounis, A., Katsoulas, N., Bartzanas, T., & Kittas, C. (2017). Internet of Things in agriculture, recent advances and future challenges. Biosystems Engineering, 164, 31–48. https://doi.org/10.1016/j.biosystemseng.2017.09.007

Vedurmudi, A. P., Neumann, J., Gruber, M., & Eichstädt, S. (2021). Semantic description of quality of data in sensor networks. Sensors, 21(19), 6462. https://doi.org/10.3390/s21196462

Wardani, I. K., Ichniarsyah, A. N., Telaumbanua, M., Priyonggo, B., Fil’Aini, R., Mufidah, Z., & Dewangga, D. A. (2023). The feasibility study: Accuracy and precision of DHT 22 in measuring the temperature and humidity in the greenhouse. IOP Conference Series: Earth and Environmental Science, 1230, 012146. https://doi.org/10.1088/1755-1315/1230/1/012146

Yoppy, Arjadi, R. H., Setyaningsih, E., Wibowo, P., & Sudrajat, M. I. (2019). Performance evaluation of ESP8266 mesh networks. Journal of Physics: Conference Series, 1230, 012023. https://doi.org/10.1088/1742-6596/1230/1/012023

Zamora-Izquierdo, M. A., Santa, J., Martínez, J. A., Martínez, V., & Skarmeta, A. F. (2019). Smart farming IoT platform based on edge and cloud computing. Biosystems Engineering, 177, 4–17. https://doi.org/10.1016/j.biosystemseng.2018.10.014

Downloads

Published

2026-09-30

How to Cite

Multi-Hop Mesh IoT System for Environmental Monitoring and Controlled Irrigation of Horticultural Crops. (2026). Journal of Applied Science, Technology & Humanities, 3(4), 127-143. https://doi.org/10.62535/zddcj087