Accuracy, Stability, and Computational Efficiency of Deep CNN Architectures for Apple Leaf Disease Classification
Reliable apple leaf disease classification requires high predictive performance and transparent computational reporting under heterogeneous field conditions. This study presents an orchard-image benchmark of four ImageNet-initialized convolutional architectures—Xception, EfficientNetB0, DenseNet121, and ResNet50V2—usin...