Weed Detection Using Machine Learning And AI Techniques

Abstract— In this project, a semi-automatic weed detection and removal robot is developed using Python, OpenCV, and embedded systems technology. The robot integrates an ESP32-CAM module for real-time video streaming, enabling live transmission of the field view to a display. Using a joystick controller and Bluetooth module, the user remotely navigates the robot to detect and approach weed areas effectively. An automatic cutting mechanism is incorporated, which activates immediately when the robot is powered on, allowing for efficient weed removal. The system provides a practical solution for small-scale agricultural fields by combining live visual feedback, manual maneuverability, and automatic weed cutting, enhancing precision and reducing human effort in weed management.