Bikas Basnet

Explainable lightweight deep learning architectures for crop anomaly detection using enhanced Grad-CAM and transfer learning

This study improves the interpretability of convolutional neural networks (CNNs) for crop anomaly detection while identifying architectures suitable for deployment on resource constraints edge devices. Six CNNs, including the proposed hybrid, were evaluated across 10 crop species...