IoT Fertigation Dashboard for Precision Agriculture Monitoring and Control

Authors

  • Muhamad Syamil Daniel Mohd Darus Universiti Tun Hussein Onn Malaysia
  • Muhammed Akram Irfan Mohd Rizalhanafi Universiti Tun Hussein Onn Malaysia
  • Maisara Othman Universiti Tun Hussein Onn Malaysia

Keywords:

Raspberry Pi, ESP32 Microcontroller, Real-Time data monitoring, Node-Red, InfluxDB

Abstract

This research involves the development of an IoT-based fertigation dashboard for precision agriculture. A single RS-485 soil sensor was used to measure temperature, moisture, pH, and electrical conductivity. The ESP32 sent this data over Wi-Fi using the MQTT protocol to a Raspberry Pi 5, which acted as the MQTT broker and hosted a real-time dashboard using Node-RED. The system provided live monitoring and remote access. Sensor readings were accurate after calibration, with values like moisture around 10–12%, pH 5.7–6.8, and temperature around 28°C. InfluxDB Cloud was used to store the data online, and it could be downloaded as a CSV file for analysis in Excel. The system was tested successfully, proving to be low-cost, reliable, and suitable for smart farming.

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Published

28-10-2025

Issue

Vol. 6 No. 2 (2025): EEEE

Section

Communication Engineering

How to Cite

Mohd Darus, M. S. D., Mohd Rizalhanafi , M. A. I. ., & Othman, M. (2025). IoT Fertigation Dashboard for Precision Agriculture Monitoring and Control. Evolution in Electrical and Electronic Engineering, 6(2), 165-172. https://publisher.uthm.edu.my/periodicals/index.php/eeee/article/view/21359