Agriculture plays a major role in India’s growth. Timely prediction of diseases will minimize their impact and improve productivity in agriculture. This work focuses on designing a rover-based system for automated plant disease detection. The rover can be utilized to detect plants without human intervention. The COCO/SSD model is used for object detection. After detecting the plant, the motor is actuated to move the rover near it. The “Plant Village” dataset is used to train the model. It consists of various images of healthy and diseased plants. In this project, we have used tomato, potato, corn, and grape images to train the model for disease identification. We have used various deep... More >