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Improving Apple Fruit Disease Classification using InceptionV3 and Adam Optimizer
Developed a deep learning framework using InceptionV3 with the Adam optimizer to classify apple fruit diseases. Achieves 97.15% test accuracy across five categories including Black Pox and Black Rot.
Results
Test accuracy: 97.15%
Classes: 5
Best model: InceptionV3
deep learningInceptionV3Adam optimizerapple diseaseimage classification