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How Tun-AI technology can be used to estimate tuna biomass
Satlink, a leading buoy manufacturer, has partnered with Komorebi AI researchers to develop Tun-AI, a machine-learning protocol that contextualizes echo-sounder data from buoys to estimate tuna biomass, shaping the future of fishery science. In the last few decades, technology has revolutionized how fishermen approach their work at sea. Increasingly advanced technological solutions enable gear selectivity and efficient route planning, foster transparency and improve operational safety, but also provide new ways of looking at the ocean environment. Data from systems on board and deployed by fishing vessels have recently garnered attention from the scientific community, as it can provide new methods of studying how fish species behave, their habitat preferences, or how their populations might react to climate change. Technology providers are instrumental in bridging the gap between the fishing industry and scientists, finding ways to use information to benefit science.