SPAD Estimation on Winter wheat (test)
0.6846R2MCVI-SANet (Finetuned)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MCVI-SANet (Finetuned)Training strategy=Finetuned2025.12 | 0.6846 | 2.4222 | |
| MCVI-SANet (Unfrozen)Training strategy=Unfrozen2025.12 | 0.652 | 2.5427 | |
| PLSRInput features=VIs, Model category=Traditional machine learning2025.12 | 0.6329 | 2.6143 | |
| RFRInput features=VIs+TFs, Model category=Traditional machine learning2025.12 | 0.6327 | 2.6139 | |
| RFRInput features=VIs, Model category=Traditional machine learning2025.12 | 0.6326 | 2.6151 | |
| XGBoostInput features=VIs, Model category=Traditional machine learning2025.12 | 0.6256 | 2.6378 | |
| XGBoostInput features=VIs+TFs, Model category=Traditional machine learning2025.12 | 0.6089 | 2.6967 | |
| PLSRInput features=VIs+TFs, Model category=Traditional machine learning2025.12 | 0.5881 | 2.7694 | |
| SVRInput features=VIs, Model category=Traditional machine learning2025.12 | 0.5768 | 2.8069 | |
| ResNet50Model category=Baseline deep learning2025.12 | 0.5568 | 2.865 | |
| ShuffleNet V2Model category=Baseline deep learning2025.12 | 0.5414 | 2.8916 | |
| MCVI-SANet (VI-SABlock→SE)Attention mechanism=SE, Model Category=Our models2025.12 | 0.5377 | 2.9214 | |
| MCVI-SANet (w/o VI-SABlock)Configuration=Ablation without VI-SABlock2025.12 | 0.5326 | 2.9268 | |
| ResNet18Model category=Baseline deep learning2025.12 | 0.4995 | 3.0449 | |
| SVRInput features=VIs+TF, Model category=Traditional machine learning2025.12 | 0.4739 | 3.1297 | |
| MobileNet V2Model category=Baseline deep learning2025.12 | 0.4681 | 3.1361 | |
| MCVI-SANet (VI-SABlock→CBAM)Attention mechanism=CBAM, Model Category=Our models2025.12 | 0.4553 | 3.1734 | |
| EfficientNet B0Model category=Baseline deep learning2025.12 | 0.4552 | 3.152 | |
| MobileNet V3Model category=Baseline deep learning2025.12 | 0.4487 | 3.1406 | |
| MCVI-SANet (VI-SABlock→ECA)Attention mechanism=ECA, Model Category=Our models2025.12 | 0.413 | 3.2863 | |
| EfficientNet V2-SModel category=Baseline deep learning2025.12 | 0.402 | 3.3274 |