Subha Sankar Chakraborty

CropNet++ViT: An Efficient Hybrid CNN-Vision Transformer for Uncertainty-Aware Fruit Quality Assessment and Grading in Smart Agriculture

The proposed CropNet++ViT model is evaluated on three benchmark datasets, achieving classification accuracies and uncertainty analysis confirms a clear separation between correct and incorrect predictions, establishing the proposed CropNet++ViT model as a scalable, interpretable, and uncertainty-aware solution for auto...