Crop Classification
Papers
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All datasetsCropHarvest - KenyaCropHarvest - TogoCropHarvest - BrazilCropHarvest - GlobalCropHarvest multicrop - Global
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | PrestoR - no DW | Target Binary F1 | 0.86 | — | Unverified |
| 2 | Feature-level fusion (sum) | Target Binary F1 | 0.79 | — | Unverified |
| 3 | Gated Fusion (Feature-level) | Target Binary F1 | 0.77 | — | Unverified |
| 4 | Radar TS with TempCNN | Average Accuracy | 0.68 | — | Unverified |
| 5 | Input Fusion with TAE | Average Accuracy | 0.67 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Ensemble aggregation with GRU | Average Accuracy | 0.84 | — | Unverified |
| 2 | Ensemble aggregation | Average Accuracy | 0.84 | — | Unverified |
| 3 | Decision fusion with GRU | Average Accuracy | 0.83 | — | Unverified |
| 4 | PrestoR | Target Binary F1 | 0.8 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Feature fusion with LSTM | Average Accuracy | 0.98 | — | Unverified |
| 2 | Hybrid fusion with LSTM | Average Accuracy | 0.97 | — | Unverified |
| 3 | PrestoR | Target Binary F1 | 0.89 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Feature Gated Fusion | Average Accuracy | 0.85 | — | Unverified |
| 2 | Input Fusion | Average Accuracy | 0.85 | — | Unverified |
| 3 | Ensemble strategy | Average Accuracy | 0.83 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Input Fusion | Average Accuracy | 0.74 | — | Unverified |
| 2 | Feature Gated Fusion | Average Accuracy | 0.73 | — | Unverified |
| 3 | Ensemble strategy | Average Accuracy | 0.72 | — | Unverified |