AI Transforms Fisheries with Stocking, Processing, and Profit Boosts
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Artificial Intelligence (AI) will change fisheries in many ways. The advent of convolutional neural networks (CNN) has dramatically increased the power of computer vision systems used for stock assessments and bycatch monitoring. Other software programs interpret engine data and vessel performance data to increase efficiency and reduce maintenance.
While onshore processors have begun to use AI and machine learning to increase quality, the last place AI shows up is in the onboard seafood processing systems. Carsoe Industrial Machinery Manufacturing in Aalborg, Denmark, has long been a leader in onboard processing systems. It intends to lead the way in getting AI and machine learning (ML) solutions into its products. “We consider it a decisive factor in remaining the most relevant supplier of process equipment and service in the future,” says Johan Schwerin, group service director at Carsoe. “The first step on this journey is reliable data collection and storage to make data available for an analysis process powered by AI.”
“Carsoe is a turnkey processing systems manufacturer,” says Schwerin. “Our systems handle the fish from the time they come aboard until they are offloaded in port. So, we already have a high level of technology on board, and from that, we can collect a lot of data. By feeding this data to AI and ML, we have an opportunity to support quality improvement.”
Schwerin notes that while the systems Carsoe provides to a fleet of vessels may be identical, quality is not. “Even on the same vessel, with different crews, we see differences in quality. Adjustments to the process are made based on the experience of the people running the machinery, creating a lot of variation. What we want to do is create a recipe to get the highest quality out of this scarce raw material.
read more at nationalfisherman.com.
