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Explainable and Robust Rice Leaf Disease Classification Across Heterogeneous Datasets Using Class Harmonization and ConvNeXt

2026-07-28

Abstract excerpt

Rice leaf diseases pose a major threat to crop productivity and global food security. Therefore, rapid and accurate disease diagnosis is essential for effective crop management. Despite the advancements made by deep learning algorithms in automated disease detection, the majority of current deep learning-based models are built and evaluated on single-source datasets. Therefore, the generalization capability of the...

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Literature Corpus work: f90b09b1-dc39-5cb6-9324-bd476f0113ec
DOI: 10.20944/preprints202607.1972.v1

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