Table 3 Results of 9 models on the test set.
From: A hypergraph cell membrane computing network model for soybean disease identification
Models | Classification accuracy (%) | ||
|---|---|---|---|
Disease images | Healthy images | Total | |
AlexNet | 87.23 | 90.57 | 89.00 |
LeNet5 | 82.98 | 98.11 | 91.00 |
Vgg16 | 91.49 | 84.91 | 88.00 |
EfficientNetB0 | 89.36 | 100 | 95.00 |
InceptionV3 | 97.87 | 92.45 | 95.00 |
DenseNet121 | 97.87 | 33.96 | 64.00 |
ResNet50 | 93.62 | 96.23 | 95.00 |
ResNet101 | 87.23 | 90.57 | 89.00 |
HcmcNet | 97.87 | 98.11 | 98.00 |
