Detecting Missing Fish with Performance Analysis
Performance analysis in aquaculture compares expected production data—such as feed input, growth rates, and mortality records—against real-time measurements from cage monitoring systems. By modeling biomass trends and feed conversion ratios, farms can identify discrepancies between predicted and observed stock. Sudden deviations in growth curves or biomass estimates signal potential issues like escapes, unrecorded mortality, or handling losses. With AI cameras, sonar, and advanced data analytics, performance analysis transforms raw farm data into actionable insights, allowing farmers to detect missing fish early, reduce economic loss, and improve stock accuracy.