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Agung Indra

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Open access Jul 2026

Sugarcane Plant Disease Classification Based on Leaf Image Using ConvNeXt V2 Deep Learning Model

This study proposes a sugarcane leaf disease classification system using ConvNeXt V2 Tiny, a modern convolutional architecture with a Global Response Normalization mechanism, combined with an ensemble Stratified K-Fold Cross Validation strategy (K=6) to improve generalization on real-world field data.

Agung Indra, Fitri Yunita, Usman Usman · 0 citations