Early detection of diseases and mortality through sensors and AI

Aquaculture producers need to shift from reactive health management to a preventive approach. This challenge focuses on the early detection of disease, stress and mortality risks by combining continuous environmental sensing, behavioural analytics using computer vision, and biological indicators such as eDNA, eRNA or immune-response signals. By identifying subclinical changes before visible symptoms or mortality events occur, operators can trigger timely operational responses, reduce sanitary events, protect fish welfare and preserve production credibility.