Dual-stage histogram matching as normalization and augmentation improves ResNet-18 robustness for grapevine disease detection, with marked gains on heterogeneous canopy images.
Development of rapid direct PCR assays to identify downy and powdery mildew and grey mould in vitis vinifera tissues
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Evaluating Histogram Matching for Robust Deep learning-Based Grapevine Disease Detection
Dual-stage histogram matching as normalization and augmentation improves ResNet-18 robustness for grapevine disease detection, with marked gains on heterogeneous canopy images.