Artificial intelligence and computer vision are being applied to aquaculture welfare monitoring. Understanding these technologies clarifies their welfare potential.
AI-based welfare monitoring provides continuous surveillance that human monitoring cannot match at the scale of commercial aquaculture. Behavioral anomalies that predict disease, stress, or environmental problems can be detected hours or days earlier than through routine checks. This technology represents a step-change in the feasibility of welfare monitoring for farmed fish.