Weed and Crop Detection Robot

Agriculture plays a vital role in sustaining the global population, but weed infestation remains a major challenge that reduces crop yield and quality. This project presents the design and development of a Weed and Crop Detection Robot that automates weed identification and removal using embedded systems and computer vision. The system integrates a Raspberry Pi with a web camera for real-time image processing and weed detection. The captured images are analyzed using image processing techniques to differentiate between crops and weeds based on visual features.Once a weed is detected, the Raspberry Pi sends control signals to an Arduino microcontroller, which manages the movement of the robot through DC motors via a motor driver. A relay-controlled pump mechanism is activated to spray herbicide precisely on the detected weeds, minimizing chemical usage and preventing damage to crops. Additionally, Bluetooth connectivity is incorporated to allow manual control and monitoring of the robot.The proposed system reduces the need for manual labor, enhances precision in weed removal, and promotes efficient use of resources. This approach contributes to smart agriculture by improving productivity while reducing environmental impact.