A Two-Step CNN-Based Approach for Banana Leaf Disease Classification Using ResNet-50 Optimization with Weight Adjustment and Class Balancing
The proposed study introduces a novel two-step convolutional neural network (CNN)-based classification approach using ResNet-50 with class weighting and Synthetic Minority Over-sampling Technique (SMOTE) augmentation to improve banana leaf disease classification accuracy while addressing class imbalance issues. Unlike...