GACL Framework
64.4% accuracy vs 5.3% chance level
ProblemCrop-disease models trained on one camera or crop rarely work on another, forcing researchers to retrain from scratch every time.
SolutionA geometry-invariant training framework and open-source baseline, built to transfer across cameras, crops, and diseases.
Impact64.4% accuracy against a 5.3% chance floor, the honest baseline every future GACL result must beat.
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