Image Recognition
The history of AI as it is currently being applied to aquaculture began with something called Fuzzy Logic. AI technology has developed rapidly over the past two decades in many fields, often in ways that can easily be adapted to aquaculture production. Costs of components required to elaborate AI systems for fish farming are still relatively high, but cost trends and novel approaches may eventually extend accessibility to even the most resource-limited producers. Salmon being evaluated by ReelData's health monitoring AI The Canadian firm ReelData AI has developed two products for land-based aquaculture operations © Reel Data AICermaq's AI-powered iFarm The iFarm concept was developed by the technology partner BioSort to improve fish health and welfare in net pens © CermaqTokyo-based Umitron Corporation has been focusing its efforts on adapting AI technology for aquaculture applications. The Kura Sushi restaurant chain has been farming mackerel tuna at its Kura Osakana production site, using AI systems developed by Umitron.