Table 12 The PDDNet-EA and PDDNet-LVE model results (σ = standard deviation)
From: Using transfer learning-based plant disease classification and detection for sustainable agriculture
Combination | PDDNet-EA model | PDDNet-LVE model | ||||
|---|---|---|---|---|---|---|
F1-Score (%) | Accuracy (%) | σ | F1-Score (%) | Accuracy (%) | σ | |
ResNet101 + ResNet50 + DenseNet201 + GoogleNet + AlexNet | 95.02 | 96.94 | 0.1569 | 97.07 | 97.79 | 0.2431 |
ResNet50 +ResNet101+ AlexNet + GoogleNet + ResNet18 DenseNet201 | 95.75 | 96.83 | 0.1175 | 96.81 | 97.21 | 0.1203 |
ResNet101+ AlexNet + ResNet50+ ResNet18+ DenseNet201 | 95.52 | 96.78 | 0.1537 | 96.61 | 96.99 | 0.0828 |
ResNet101+ResNet50 + ResNet18+ DenseNet201+ GoogleNet | 95.67 | 96.67 | 0.1614 | 96.29 | 96.90 | 0.1289 |
EfficientNetB7+ NASNetMobile+ ConvNeXtSmall+ AlexNet | 95.78 | 96.92 | 0.1614 | 96.89 | 97.80 | 0.1299 |
DenseNet201+ResNet101+ GoogleNet+ AlexNet | 95.96 | 96.58 | 0.1305 | 96.02 | 96.65 | 0.1293 |
ResNet50+ DenseNet201+ GoogleNet + AlexNet | 95.77 | 96.56 | 0.1013 | 95.95 | 96.58 | 0.1071 |
ResNet101+ ResNet50+ GoogleNet + AlexNet | 95.81 | 96.45 | 0.2089 | 95.72 | 96.42 | 0.1654 |
DenseNet201+ ResNet101+ ResNet50 | 96.15 | 96.42 | 0.1062 | 96.45 | 95.75 | 0.1383 |