DFruitNet: A Lightweight Dual-Attention Network with Feature Fusion for Explainable Dragon Fruit Disease Classification and Severity Assessment
DFruitNet is proposed, a lightweight dual-attention-based convolutional neural network for dragon fruit disease classification and severity estimation that integrates channel and spatial attention mechanisms with multiscale feature fusion to effectively capture both local and global visual patterns.