Automatic Plant Watering Using a Real-Time Soil Moisture Sensor Based on the Internet of Things at STMIK Kaputama

Rendie Rendi

doi:10.59934/jaiea.v5i1.1393

Authors

Rendie Rendi STMIK Kaputama Binjai

DOI:

https://doi.org/10.59934/jaiea.v5i1.1393

Keywords:

Blynk, ESP32, Internet of Things, soil moisture, automated systems

Abstract

Plant watering is an important aspect of agriculture, but manual methods are often inefficient. This research aims to design and implement an Internet of Things (IoT)-based automatic watering system using a soil moisture sensor. This system measures humidity in real-time and automatically controls the water pump based on a specified threshold. When humidity is <65%, the pump will be active, and when humidity is between 65%-80%, the pump will be off. The main hardware is an ESP32, a soil moisture sensor, a relay, and a water pump, while monitoring is carried out through the Blynk application. Test results show that the system is able to work according to the expected control logic, increasing watering efficiency and reducing water waste. This system is effectively implemented on a small scale such as the campus garden at STMIK Kaputama.

Downloads

Download data is not yet available.

References

M. Herly. (2024). Implementation of Smart Greenhouse Actuator Intelligence Control System Technology for Horticultural Plant Cultivation

Sarwanah, R., Jaelani, U., Hasad, A., Supratno, S., & Sugeng, S. (2022). NodeMCU ESP8266 Application for Internet of Things-Based Soil Moisture Monitoring. Journal of Students' Research in Computer Science, 3(1), 67-72.

Ulina, A., & Riza, A. G. (2021). Android-Based Automatic Plant Monitoring and Watering System with the Blynk Application. Abdi Teknoyasa, 26-31.

Erwin, E., Pasaribu, A. W., Novel, N. J. A., Thaha, A. R., Adhicandra, I., Suardi, C., Nasir, A., & Syafaat, M. (2023). Digital Transformation. PT. Sonpedia Publishing Indonesia.

Flora, F. S. (2024). Automation of the Red Onion Plant Watering System on Rocky Soil Based on the Internet of Things.

Riskiono, S. D., Pamungkas, R. H. S., & Arya, Y. (2020). Design and Construction of an Arduino-Based Vegetable Plant Water-ing System with a Soil Moisture Sensor. Scientific Journal of Control and Electricity Students, 1(1), 23–32.