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Abstract Plant pests and diseases are estimated to cause losses of up to 40% of global crop production, while plant diseases alone are associated with economic losses exceeding US$220 billion annually1. Although deep learning-based plant disease classification methods have achieved high accuracy on benchmark datasets, many existing systems focus primarily on disease identification and provide limited information regarding visual explanation and disease burden.
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