IoT-Based Smart Irrigation Monitor

Problem

In agriculture, one of the biggest challenges is improper irrigation. Farmers often rely on manual inspection to decide when to water crops, which can lead to overwatering or underwatering. This not only wastes water but also affects plant health and crop yield.

Traditional irrigation systems lack real-time monitoring and intelligent decision-making, making them inefficient and labor-intensive.

Solution

To solve this problem, I developed an IoT-based irrigation monitoring system using ESP32 and a soil moisture sensor. This system continuously monitors soil moisture levels and sends real-time data over the internet using the MQTT protocol.

By using IoT sensors for agriculture, the system helps in making smarter irrigation decisions and reduces manual effort significantly.

How It Works

The system is built around an ESP32 microcontroller connected to a capacitive soil moisture sensor.

The soil moisture sensor is placed in the soil to detect moisture levels.

• The soil moisture sensor is placed in the soil to detect moisture levels.
  The ESP32 reads the analog data from the sensor via GPIO34.
• The ESP32 reads the analog data from the sensor via GPIO34.
  The microcontroller connects to a WiFi network and sends data to an MQTT broker.
• The microcontroller connects to a WiFi network and sends data to an MQTT broker.
  Every 30 seconds, the system publishes:
  Every 30 seconds, the system publishes:
• Moisture value
• Soil status (DRY or WET)
  Every 30 seconds, the system publishes:
  Moisture value
  Soil status (DRY or WET)
  Based on the moisture level:
• If soil is dry → system sends ON signal
• If soil is wet → system sends OFF signal
• Based on the moisture level:
  If soil is dry → system sends ON signal
  If soil is wet → system sends OFF signal
• A separate MQTT-based pump controller receives this signal and controls the water pump accordingly.
  

• This architecture ensures that the pump system is independent and can be controlled remotely over the same network.

Key Features

• Real-time soil moisture monitoring
• MQTT-based wireless communication
• Automated irrigation control
• Low-cost and easy-to-build system
• Scalable design for larger farms
• Reduced water wastage

Conclusion

This project demonstrates a simple yet effective approach to smart irrigation using ESP32 and MQTT. By automating irrigation decisions based on real-time soil data, the system improves efficiency and helps conserve water.

It is a practical solution for modern agriculture and can be easily extended with additional sensors or cloud dashboards in the future.