How sensor technology, AI, and monitoring systems are advancing welfare assessment in fish farming.
Technology is beginning to transform welfare monitoring in aquaculture in ways that were not possible with traditional observation-based methods. Continuous, non-invasive monitoring of fish behavior through underwater cameras and AI analysis can detect welfare-relevant changes — in swimming speed, schooling geometry, surface activity — that precede clinical disease by hours or days. This enables earlier intervention that reduces both suffering duration and production loss. The alignment between welfare improvement and economic benefit makes technology adoption more attractive to producers, creating a pathway to industry-wide welfare improvement.