Abstract: Precision farming has become a popular method for increasing agricultural productivity while using less resources in recent years. The health and yield of crops are greatly impacted by leaf diseases, which calls for effective techniques of diagnosis and intervention. The proposed model integrates advanced technologies including computer vision, machine learning, and robotics to achieve autonomous operation in agricultural fields. Equipped with high-resolution cameras and deep learning algorithms, the robot efficiently identifies symptoms of leaf diseases such as spots, lesions, and discolorations. Real-time processing enables rapid diagnosis, ensuring timely intervention.

Keywords: Image processing ,Robot, Deep learning and Pesticide.

Downloads: | DOI: 10.17148/IJIREEICE.2024.12518