Emerging technologies including computer vision, AI, and sensor systems are transforming the ability to monitor fish welfare in aquaculture settings.
Technology-assisted welfare monitoring dramatically increases the welfare data available from aquaculture systems. Traditional welfare assessment required handling fish, which itself caused stress. Non-invasive monitoring through vision systems and sensors enables continuous welfare surveillance at population scale. The challenge is translating data into management responses that improve individual fish welfare rather than simply generating metrics.