Smart agriculture plays a vital role in increasing crop productivity and reducing losses caused by pests. This project presents a Smart Agricultural Pest Detection System using Ambient Sound Analysis and IoT-Based Web Monitoring. The system is designed to detect, identify, and monitor insect activity in agricultural fields using sound recognition and infrared sensing technology. An Arduino UNO serves as the main controller of the system. A microphone sensor is used to capture ambient insect sounds in the field. The captured sound signals are analyzed based on frequency characteristics to differentiate and classify insect species. Once identified, the corresponding insect name is displayed on a web page through the ESP8266 Wi-Fi module. Additionally, four IR sensors are placed at the four corners of the field to monitor pest movement and presence. The status of these sensors is continuously updated and displayed on the web interface. When harmful insect activity exceeds a predefined threshold, the system automatically activates a relay circuit to control a pesticide spraying mechanism or AC motor. The relay ON/OFF status is also monitored and displayed on the web page for real-time tracking. The ESP8266 Wi-Fi module enables IoT-based remote monitoring, allowing farmers to observe insect detection data, sensor status, and relay control through a web page from anywhere. This smart system reduces manual monitoring effort, ensures timely pest control, minimizes pesticide overuse, and improves overall agricultural productivity.      

Main Objectives in this project:

  To detect insect activity in agricultural fields using a microphone sensor.

  To identify and classify insects based on sound frequency analysis.

  To monitor pest movement using four IR sensors placed at the four corners of the field.

  To display identified insect names and sensor status on a web page using IoT.

  To automatically control pesticide spraying using a relay when harmful insects are detected.

  To provide real-time remote monitoring through the ESP8266 Wi-Fi module.

  To reduce crop damage and minimize excessive pesticide usage.        

Components used:

• Arduino UNO Microcontroller.
• Regulated Power supply.
• Esp8266 Wi-Fi module.
• Relay with AC motor.
• Four IR sensor.
• Microphone.
• LCD display.

      Software used:

1. Embedded C programming.
2. Arduino IDE programmer for dumping code into Micro controller.
3. Express SCH for Circuit design.

    Regulated power supply:

                 

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