A Comparative Assessment of Multi-view fusion learning for Crop Classification

Benchmark Model Rank Results
crop-classification-on-cropharvest-kenyaFeature-level fusion (sum)#2Target Binary F1: 0.794AUC: 0.716Average Accuracy: 0.630
crop-classification-on-cropharvest-kenyaGated Fusion (Feature-level)#3Target Binary F1: 0.772AUC: 0.718Average Accuracy: 0.665
crop-classification-on-cropharvest-togoEnsemble aggregation#2Average Accuracy: 0.840Target Binary F1: 0.778AUC: 0.909