Advanced Hybrid ViT-ConvNeXt Framework for Robust Multi-Part Plant Disease Detection with Entropy-Driven Feature Selection
Existing classification systems of hybrid plant disease detection use CNN-based features extraction (e.g., VGG-16, ResNet-34, EfficientNet-B4) with SVM classification but are subject to major limitations (redundant features are extracted, features and classes are not well correlated, small datasets are overfitted, and...