Technological approaches to monitoring fish welfare in aquaculture are rapidly developing, offering new ways to detect stress, disease, and behavioral welfare indicators.
Welfare monitoring technology in aquaculture addresses a fundamental challenge of the industry: fish welfare cannot be assessed through direct behavioral observation at the individual level in commercial production systems. Automated monitoring of group behavioral parameters (school cohesion, vertical distribution, feeding activity) and water quality provides continuous welfare surveillance that catch problems earlier than periodic manual observation. As these technologies mature and costs decrease, they represent an opportunity to substantially improve fish welfare in commercial aquaculture by enabling earlier intervention and optimized environmental management.