VGG19 and Xception classify 21 leaf-disease classes across six Bangladeshi crops with roughly 99% accuracy on a public dataset, with GradCAM-family heatmaps used for explanation.
Plant leaf disease recognition using depth-wise separable convolution-based models.Symmetry, 13(3):511, 2021
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An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI
VGG19 and Xception classify 21 leaf-disease classes across six Bangladeshi crops with roughly 99% accuracy on a public dataset, with GradCAM-family heatmaps used for explanation.