Machine learning applied to otolith microchemical data to discriminate stock of origin in salmon
Ben Makhlouf, Daniel E. Schindler, Валентина Станева
This paper uses machine learning to classify Chinook salmon by their river of origin using otolith microchemical data, achieving up to 92.5% accuracy.
ICES Journal of Marine Science · May 1, 2026Peer-reviewedEcology