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Author

V. Fegade

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Open access Sep 2026

Deep Learning-based Classification of Tomato Leaf Diseases

Performance of four transfer learning models based on pretrained CNN architecture, VGG16, VGG19, ResNet50 and MobileNetV2, are shown under identical preprocessing and training conditions to analyze the influence of CLAHE-based contrast enhancement on disease feature representation and classification performance.

V. Nemade, V. Fegade, Deepti Barhate et al. · 0 citations

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