Plant Leaf Diseases Classification

Built a deep learning model to classify plant leaf diseases using a CNN trained on the New Plant Diseases Dataset (Augmented). The dataset includes thousands of RGB images representing healthy and diseased plant leaves across 38 classes. The model architecture consists of multiple convolutional and pooling layers, followed by fully connected layers, and uses data augmentation techniques to enhance generalization. After training, the model achieved high accuracy in detecting and classifying different plant diseases, showing promise for real-world agricultural applications.