Artificial intelligence systems are increasingly used to monitor the welfare of farmed Atlantic salmon at scale, enabling early detection of stress, disease, and behavioral indicators that humans cannot efficiently track in large sea pens.
Salmon welfare at scale has historically been difficult to assess because the number of animals and the underwater environment make direct observation impractical. AI and computer vision technologies represent a genuine breakthrough in the ability to detect welfare problems early, when intervention is most effective. These systems can identify crowding stress, disease, injury patterns, and abnormal behavior across thousands of fish simultaneously. The welfare benefits of early intervention — reduced suffering duration, targeted treatment, prevention of mortality cascades — are substantial. However, technology alone cannot substitute for well-designed housing and farming practices.