Table 10 Comparison of the DDC-P system with recent studies
From: A cell P system with membrane division and dissolution rules for soybean leaf disease recognition
Models | Publication date | Datasets | Accuracy (%) | Parameter count (MB) |
|---|---|---|---|---|
TFANet [14] | 2023.09 | ASDID | 98.18% | 1.18 |
Swin Transformer [18] | 2023.09 | Private | 99.64% | - |
TRNet18 [40] | 2023.09 | Private | 99.53% | 42.70 |
RANet18 [15] | 2023.06 | Private | 96.50% | 40.64 |
DenseNet201 [19] | 2022.11 | ASDID, PDDB | 96.75% | - |
VirLeafNet-3 [41] | 2021.03 | Private | 97.40% | - |
SoyNet [16] | 2020.05 | PDDB | 98.14% | - |
DDC-P system (Ours) | 2024.08 | Private | 98.43% | 1.41 |