Smart Aquaculture Technologies

This section of the summit will address the integration of advanced technologies such as embedded systems, image processing-based fish counting and weight estimation, and automated water quality control systems into aquaculture processes.

Aquaculture was for a long time a form of production based on observation and experience. Today, cameras mounted beneath cages watch feeding behaviour, image-processing algorithms estimate biomass, and sensors measure dissolved oxygen at minute intervals. This summit track is not about the showroom version of technology but about what it actually does on site.

Where is the feeding decision made? Feed accounts for roughly half of operating cost. With manual feeding, part of the feed sinks past the fish — a loss of both money and water quality. Vision-based systems read satiation behaviour and stop feeding accordingly. Payback varies with cage scale and is calculated on feed savings.

Why is biomass estimation hard? Counting and weighing fish in a cage means stressing them. Stereo cameras with deep-learning measurement produce average weight estimates without sampling. The margin of error matters directly for harvest planning and for what you promise a buyer.

Water quality monitoring. When dissolved oxygen, temperature, pH and salinity are measured continuously, a problem is caught before it becomes mortality. Automatic alert thresholds are particularly valuable against summer oxygen drops in inland cages.

At the summit. System providers and producers sit at the same table in this session — not presentations, but installation cost, maintenance burden and real payback periods. You can request matchmaking with technology providers when you register.