Sadia Sharmin

FlashViT: A Memory-Efficient and Explainable Vision Transformer for Multi-Class Sweet Orange Disease Classification

Accurate and computationally efficient plant disease detection is essential for scalable precision agriculture systems. While convolutional neural networks (CNNs) have achieved strong performance in crop disease classification, their localized receptive fields may limit modeling of long-range spatial dependencies in co...