Deep learning model being trained to identify escaped farmed salmon

Global Seafood Alliance —

A recent study shows that deep learning technology can reliably distinguish between wild and farmed Atlantic salmon. Researchers say the tool could help Norway better track escapees and protect its declining wild salmon populations.

“Farmed salmon differ genetically from wild populations and interbreeding between escaped farmed salmon and wild salmon leads to genetic changes that make wild salmon less fit to adapt to environmental changes or address threats around them,” the researchers wrote in a press release. “Genetic analysis shows that approximately two-thirds of wild salmon in Norway carry genetic signatures that indicate interbreeding with farmed salmon.”

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