Table 3 Dataset summary with the baseline accuracy (%) using different base CNNs only.
From: PND-Net: plant nutrition deficiency and disease classification using graph convolutional network
Dataset name | Class | Train | Test | Xception | ResNet-50 | MobileNet-V2 | Inception-V3 |
|---|---|---|---|---|---|---|---|
Banana nutrition deficiency | 8 | 2156 | 920 | 62.50 | 61.53 | 61.74 | 62.17 |
Coffee nutrition deficiency | 9 | 700 | 300 | 69.25 | 68.24 | 66.55 | 69.93 |
Potato disease | 7 | 2010 | 869 | 83.56 | 83.16 | 80.78 | 83.44 |
PlantDoc disease | 27 | 2047 | 516 | 64.64 | 64.45 | 61.32 | 60.15 |
BreakHis-40\(\times \) | 8 | 1400 | 600 | 86.00 | 87.66 | 84.16 | 85.33 |
BreakHis-100\(\times \) | 8 | 1460 | 625 | 81.80 | 83.33 | 80.20 | 82.51 |
SIPaKMeD | 5 | 3550 | 500 | 91.33 | 92.66 | 90.92 | 92.34 |
