KashWalNET: Efficient Walnut Disease Recognition Using K-Means-Guided Segmentation and CNN
A lightweight deep learning-based approach for automatic detection and classification of walnut leaf diseases using convolutional neural networks (CNNs) is proposed, demonstrating that the proposed CNN model significantly outperforms conventional machine learning algorithms and pre-trained deep learning models.