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R. Rusdiyanto

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Open access Jul 2026

Densenet201 Feature Extraction With Soft Voting Ensemble For Accurate Rice Leaf Disease Classification

The results demonstrate that the combination of DenseNet201 and Soft Voting provides an accurate and effective approach for rice leaf disease classification and has strong potential as an early disease detection tool in agriculture.

Nelly Khairani Daulay, Novi Lestari, R. Rusdiyanto · 0 citations

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