Crop Yield Prediction on Crop Yield Prediction Multi-source
0.89R2 ScoreAttn-MM DL
Evaluation results
| Method | Links | |
|---|---|---|
| Attn-MM DLYear=2026, Data=Sat+Soil+Clim, Temporal Modeling=Yes, Key Limitation=Dependent on availability of real-time multi-source data2026.04 | 0.89 | |
| ST-Transformer (Ma et al.)Year=2024, Data=Multi, Temporal Modeling=Yes, Key Limitation=Requires large-scale labeled datasets2026.04 | 0.88 | |
| Transformer (Rußwurm et al.)Year=2024, Data=Sat-TS, Temporal Modeling=Yes, Key Limitation=Does not integrate soil and climate data2026.04 | 0.88 | |
| CropFormerYear=2024, Data=ST-Sat, Temporal Modeling=Yes, Key Limitation=High computational cost and training complexity2026.04 | 0.87 | |
| Attn-DNN (Jiang et al.)Year=2024, Data=Multi, Temporal Modeling=Partial, Key Limitation=Limited use of high-resolution soil datasets2026.04 | 0.86 | |
| DNN (Khaki et al.)Year=2019, Data=Soil+Wea, Temporal Modeling=Partial, Key Limitation=Does not capture spatial variability from satellite imagery2026.04 | 0.84 | |
| CNN+SHAP (Doshi et al.)Year=2023, Data=Sat+Wea, Temporal Modeling=Partial, Key Limitation=Interpretability improves insight but increases complexity2026.04 | 0.83 | |
| CNN (Wang et al.)Year=2023, Data=RS, Temporal Modeling=No, Key Limitation=Limited integration of soil and environmental factors2026.04 | 0.79 | |
| CNN (Nevavuori et al.)Year=2019, Data=Sat, Temporal Modeling=No, Key Limitation=Ignores temporal dependencies in crop growth2026.04 | 0.75 | |
| Stat. Reg. (Gupta et al.)Year=2018, Data=Sat, Temporal Modeling=No, Key Limitation=Lacks environmental and climatic variables2026.04 | 0.68 |