Mangrove conservation and monitoring are critically important for biodiversity. However, accurate classification remains challenging due to the morphological similarities among species. This paper proposes MG-ResViT, a novel deep learning framework continue reading : MG-ResViT: Dynamic Residual Learning with Contrastive Feature Optimization and PCA-Optimized Cross-Block Feature Fusion for Fine- Grained Mangrove Species Classification




