Monitoring Pesticide Watering On Plants Shallot Using Mosquitto Network (MQTT) Client-Server Network

Authors

  • Muhammad Yaafi Melindra Politeknik Negeri Padang
  • Hendrick Hendrick Politeknik Negeri Padang
  • Nadia Alfitri Politeknik Negeri Padang
  • Rahmat Rahmat Politeknik Enjiniring Pertanian Indonesia

DOI:

https://doi.org/10.30630/jeccom.1.2.41-47.2023

Keywords:

Node-RED, MQTT, Soil Moisture Sensor, Raindrop Sensor, Relay

Abstract

Shallots are one of the leading commodities in several regions in Indonesia. In the cultivation of shallot plants there are pests that can reduce the quality of shallots. Along with the times, and to overcome the problem of watering pesticides for shallot plants, an automation tool is designed to make it easier for farmers to water pesticides. The design of this tool uses the concept of Internet of Thing (IoT) where the application used is Node-RED with the MQTT protocol. The optimum humidity for the growth and development of shallot plants is 50-70%, so soil moisture sensors are used to measure soil moisture. Pesticide watering also looks at weather conditions such as rain. Therefore, the raindrop sensor is used to detect rain. From several trials that have been carried out, it produces one experimental result that shows soil moisture of 35% where weather conditions are not raining and, the relay is active to perform pesticide watering. This indicates that the pesticide watering of shallot plants using the MQTT client-server network is successful carried out.

References

M. Dianingrum, N. Hermanto, and M. I. Rifa’i, “Expert System for Simulation of Pest and Disease Diagnosis in Onion Plant Using Putty Shafer Method and Rule-Based Approach,” IJIIS Int. J. Informatics Inf. Syst., vol. 2, no. 1, pp. 1–8, 2019, doi: 10.47738/ijiis.v2i1.8.

Sutardi and H. Porwoninsih, “Environment-friendly cultivation of shallot on sandy land as specified location in Yogyakarta,” J. Sumberd. Hayati, vol. 4, no. 1, pp. 1–6, 2018.

S. H. Shweta, N. Gangadhar, J. B. Gopali, and M. P. Basavarajappa, “Bio-efficacy of synthetic insecticides against onion thrips , Thrips tabaci Lindeman ( Thysanoptera : Thripidae ),” vol. 7, no. 2, pp. 38–42, 2019.

M. Sambath, M. Prasant, N. Bhargav Raghava, and S. Jagadeesh, “Iot based garden monitoring system,” J. Phys. Conf. Ser., vol. 1362, no. 1, 2019, doi: 10.1088/1742-6596/1362/1/012069.

N. Afiyat, R. Helmi Navilla, and M. Hariyadi, “IoT-Based Infusion Fluid Monitoring System Using the MQTT Protocol,” J. Nas. Tek. Elektro Dan Teknol. Inf., vol. 12, no. 1, pp. 50–55, 2022.

F. Luthfi, E. A. Juanda, and I. Kustiawan, “An Agricultural Irrigatıon Management System Based on the Internet of Things With MQTT Protocol An Agricultural Irri gatıon Management Sys tem Based on the Internet of Things With MQTT Protocol,” doi: 10.1088/1757-899X/1084/1/012118.

M. Artiyasa, I. Himawan Kusumah, A. Suryana, Edwinanto, A. D. W. Muhammad Sidik, and A. Pradiftha Junfithrana, “Comparative Study of Internet of Things (IoT) Platform for Smart Home Lighting Control Using NodeMCU with Thingspeak and Blynk Web Applications,” Fidel. J. Tek. Elektro, vol. 2, no. 1, pp. 1–6, 2020, doi: 10.52005/fidelity.v2i1.103.

M. N. K. Hamdani, I. Sulistiyowati, and S. D. Ayuni, “Automatic Stove Control System Based on the NodeMCU ESP8266 Microcontroller,” J. Electr. Technol. UMY, vol. 6, no. 2, pp. 103–111, 2022, doi: 10.18196/jet.v6i2.16308.

F. M. A. Taha, A. A. Osman, S. D. Awadalkareem, M. S. A. Omer, and R. S. M. Saadaldeen, “A Design of a Remote Greenhouse Monitoring and Controlling System Based on Internet of Things,” 2018 Int. Conf. Comput. Control. Electr. Electron. Eng. ICCCEEE 2018, no. 10 m, pp. 1–6, 2018, doi: 10.1109/ICCCEEE.2018.8515866.

R. Maulana and A. Wibowo, “Design of an Automatic Nutrition System for Hydroponic Plants with an IoT-based NodeMCU Microcontroller,” Fidel. J. Tek. Elektro, vol. 1, no. 2, pp. 1–5, 2019, [Online]. Available: https://fidelity.nusaputra.ac.id/article/view/68.

Downloads

Published

2023-12-30

How to Cite

Melindra, M. Y., Hendrick, H., Alfitri, N., & Rahmat, R. (2023). Monitoring Pesticide Watering On Plants Shallot Using Mosquitto Network (MQTT) Client-Server Network . JECCOM: International Journal of Electronics Engineering and Applied Science, 1(2), 41–47. https://doi.org/10.30630/jeccom.1.2.41-47.2023

Issue

Section

Articles