Usman Usman

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.