Plant Leaf Disease Classification and Identification Using Deep Convolution Neural Network

With the advancement of deep learning, and CNNs in particular, comes the ability to correctly classify plant diseases automatically with increased accuracy. This work provides a robust system by adopting CNN architectures and employing the application of transfer learning toward leaf disease classification in plants using diverse datasets, with proper preprocessing and augmentation. Deployed as a user-friendly application, the system demonstrates significant potential in enhancing crop productivity and minimizing losses through early disease detection.