An Autonomous Rover for Weed Detection

This project enhances agricultural productivity and promotes sustainable farming through an autonomous weed detection rover. Powered by a Raspberry Pi, the rover integrates a high-definition camera and advanced image processing algorithms to differentiate weeds from crops in real time using visual attributes like color, texture, and shape. Key components, including motor drivers and MOSFETs, enable efficient power management and autonomous navigation, reducing human intervention. The system significantly decreases manual labor by approximately 80 % while ensuring precise herbicide application, minimizing environmental impact. This scalable and efficient solution highlights the potential of intelligent automation in agriculture, fostering sustainable weed management and improving long-term crop yields.