Crop Classification 벤치마크
Crop Classification on CropHarvest - Brazil
| Rank | Model | Average Accuracy | F1 Macro | Target Binary F1 | Paper | Code | Year |
|---|---|---|---|---|---|---|---|
| 1 | Feature fusion with LSTM | 0.975 | 0.979 | – | In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data | fmenat/optimal-multiview-crop-classifier | 2024 |
| 2 | Hybrid fusion with LSTM | 0.974 | 0.978 | – | In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data | fmenat/optimal-multiview-crop-classifier | 2024 |
| 3 | PrestoR | – | – | 0.891 | Lightweight, Pre-trained Transformers for Remote Sensing Timeseries | nasaharvest/presto | 2023 |