Real-time biomass and behaviour monitoring in aquaculture uses computer vision and sensors to detect welfare problems in fish stocks earlier than manual observation allows.
Precision monitoring technology offers the potential to transform aquaculture welfare by enabling earlier detection of welfare problems in systems where individual observation is impractical at commercial scale. Computer vision systems that track fish behaviour continuously can identify changes in swimming pattern, schooling cohesion, or surface activity that precede visible disease or mass mortality events. Automated feeding systems that deliver food only when fish actively feed prevent waste accumulation that degrades water quality. These technologies improve welfare outcomes while also improving production efficiency, creating commercial incentives that align with welfare improvement goals.