This study presents the creation and implementation of a small-scale grid irrigation system designed to optimize water usage through the integration of electronic sensors and an Internet of Things (IoT) model for continuous soil moisture monitoring. Managed by a NodeMCU ESP8266 microcontroller, the system includes soil moisture sensors, an LCD display, and a relay module that controls a water pump. The pump automatically activates to maintain soil moisture within an optimal range of 40–60%, ensuring water is delivered precisely when needed and minimizing waste. The system’s effectiveness is evidenced by a significant reduction in water usage compared to traditional irrigation methods, as demonstrated by the results showing that the IoT-based system consistently used less water over a 10-day period. Real-time data displayed on the LCD panel keeps users informed about the system’s status, while the automated setup significantly reduces the need for manual intervention. The findings confirm the practical benefits of integrating traditional irrigation methods with IoT technology, offering a reliable and sustainable solution for improving water management in agriculture.

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Optimizing Water Usage in Grid Irrigation Systems Using IoT and Electronic Sensors

  • Abhishek Tripathi,
  • S. K. Arief,
  • Ch. Gowtham Sai,
  • S. K. Ayesha Zeberiya,
  • Korlepara Tarun Sai,
  • K. V. S. Sai Ram,
  • J. Benita,
  • S. Sujitha,
  • M. Vishnu Priya

摘要

This study presents the creation and implementation of a small-scale grid irrigation system designed to optimize water usage through the integration of electronic sensors and an Internet of Things (IoT) model for continuous soil moisture monitoring. Managed by a NodeMCU ESP8266 microcontroller, the system includes soil moisture sensors, an LCD display, and a relay module that controls a water pump. The pump automatically activates to maintain soil moisture within an optimal range of 40–60%, ensuring water is delivered precisely when needed and minimizing waste. The system’s effectiveness is evidenced by a significant reduction in water usage compared to traditional irrigation methods, as demonstrated by the results showing that the IoT-based system consistently used less water over a 10-day period. Real-time data displayed on the LCD panel keeps users informed about the system’s status, while the automated setup significantly reduces the need for manual intervention. The findings confirm the practical benefits of integrating traditional irrigation methods with IoT technology, offering a reliable and sustainable solution for improving water management in agriculture.