IoT-Based Monitoring System for pH and Electrical Conductivity of Hydroponic Nutrient Solutions

Authors

  • Lena Yulistia Ningsih STMIK KAPUTAMA
  • Relita Buaton STMIK KAPUTAMA
  • Milli Alfhi Syari STMIK KAPUTAMA

DOI:

https://doi.org/10.59934/jaiea.v5i3.2503

Keywords:

Electrical Conductivity, Hydroponics, Internet of Things, Nutrient Monitoring, pH

Abstract

Technological advancements in agriculture have encouraged the adoption of hydroponic systems as an efficient cultivation method for overcoming land limitations. In hydroponic cultivation, pH and Electrical Conductivity (EC) are essential parameters that influence nutrient availability and absorption by plants. However, monitoring these parameters is often performed manually, making the process inefficient and prone to measurement errors. This study aims to design and implement an Internet of Things (IoT)-based monitoring system for pH and EC in hydroponic nutrient solutions to provide real-time monitoring. The system utilizes an ESP32 microcontroller integrated with a pH sensor, EC sensor, Analog Signal Isolator, I2C LCD, and the Blynk application for data visualization. The research methodology includes hardware design, software development, system implementation, and sensor accuracy evaluation. Experimental results show that the pH sensor achieved an accuracy of 89.07%, while the EC sensor achieved an accuracy of 92.26%. The developed system successfully displayed pH and EC measurements in real time through both the I2C LCD and Blynk application, enabling remote monitoring of nutrient solution conditions. Therefore, the proposed system is suitable as an IoT-based monitoring tool to support nutrient management in hydroponic cultivation.

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References

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Published

2026-06-22

How to Cite

Lena Yulistia Ningsih, Relita Buaton, & Milli Alfhi Syari. (2026). IoT-Based Monitoring System for pH and Electrical Conductivity of Hydroponic Nutrient Solutions. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 5(3), 4716–4721. https://doi.org/10.59934/jaiea.v5i3.2503

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Articles