Crop Classification 벤치마크
Crop Classification on CropHarvest - Togo
Average Accuracy
- 2023-08-10 — Ensemble aggregation: Average Accuracy 0.84
- 2024-03-25 — Ensemble aggregation with GRU: Average Accuracy 0.842
| Rank | Model | Average Accuracy | Target Binary F1 | AUC | F1 Macro | Paper | Code | Year |
|---|---|---|---|---|---|---|---|---|
| 1 | Ensemble aggregation with GRU | 0.842 | – | – | 0.820 | In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data | fmenat/optimal-multiview-crop-classifier | 2024 |
| 2 | Ensemble aggregation | 0.840 | 0.778 | 0.909 | – | A Comparative Assessment of Multi-view fusion learning for Crop Classification | fmenat/multiviewcropclassification | 2023 |
| 3 | Decision fusion with GRU | 0.825 | – | – | 0.7952 | In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data | fmenat/optimal-multiview-crop-classifier | 2024 |
| 4 | PrestoR | – | 0.798 | – | – | Lightweight, Pre-trained Transformers for Remote Sensing Timeseries | nasaharvest/presto | 2023 |