Feeding a crop-classifier its own interannually corrected past predictions, encoded as confidence-scaled categorical tokens, raises crop-only macro-F1 by 1.6 points and rebalances precision-recall.
Document Code D1.12, CLMS (2025)
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Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality
Feeding a crop-classifier its own interannually corrected past predictions, encoded as confidence-scaled categorical tokens, raises crop-only macro-F1 by 1.6 points and rebalances precision-recall.