Saury catches from August to the end of September this year totaled about 28,500 tons -- a 2.4-fold increase from the same period last year. The Japan Fisheries Information Service Center will start a service next fishing season that shows expected fishing grounds for saury by size class based on analysis using artificial intelligence technology. The Tokyo-based group of fisheries organizations provides information on fishing and ocean conditions. Since 2020, the group provides its predictions of likely saury fishing spots using AI, based on seawater temperature changes and past fishing records. The accuracy of the predictions has improved year after year.

The ocean can be a dangerous place, even for a shark. Despite sitting at the top of the food chain, these predators are now reeling from destructive human activities like overfishing, pollution and climate change. Researchers at UC Santa Barbara focused on a particularly troublesome issue for sharks: tangles with the longline tuna fishery. Using data from regional fisheries management organizations and machine learning algorithms, the scientists were able to map out hotspots where shark species face the greatest threat from longline fishing. The findings, published in Frontiers in Marine Science, highlight key regions where sharks can be protected with minimal impact on tuna fisheries.

Tokyo, Oct. 17 (Jiji Press)–Japanese fish industries are starting to use artificial intelligence to select high-quality fish at markets and find good fishing grounds, areas where they have relied largely on experience and intuition.AI tools are drawing attention because they can easily replicate proficient skills, including those needed to evaluate tuna quality and determine likely locations of fishing grounds for saury.When judging the quality of fish, buyers look at how fresh and firm the meat is and how much fat it puts on."You

Japanese fish industries are starting to use artificial intelligence to select high-quality fish at markets and find good fishing grounds, areas where they have traditionally relied largely on experience and intuition. AI tools are drawing attention because they can easily replicate proficient skills, including those needed to evaluate tuna quality and determine good spots to catch saury. When judging the quality of fish, buyers look at how fresh and firm the meat is and how much fat it puts on. "You need over 10 years of experience" to acquire an excellent eye, a fish market worker said. Advertising giant Dentsu Inc. and others jointly developed and put into practical use a smartphone app that enables users to easily pick out delicious tuna.

Tokyo, Oct. 17 (Jiji Press)--Japanese fish industries are starting to use artificial intelligence to select high-quality fish at markets and find good fishing grounds, areas where they have relied largely on experience and intuition. AI tools are drawing attention because they can easily replicate proficient skills, including those needed to evaluate tuna quality and determine likely locations of fishing grounds for saury. When judging the quality of fish, buyers look at how fresh and firm the meat is and how much fat it puts on. "You need over 10 years of experience" to acquire an excellent eye, a fish market worker said. Japanese advertising giant Dentsu Inc. and others jointly developed and put into practical use a smartphone app that enables users to easily pick out delicious tuna using AI technology.

The fishing industry has been experimenting with artificial intelligence, to pass on the skills of experienced fishers amid a serious shortage of newcomers entering the industry. AI is being tapped to revolutionize the sector and boost profits by analyzing past fishing data, weather conditions and ocean currents, to forecast the locations of fertile fishing grounds or propose efficient methods for oyster culture farming. "AI shows this is the area for a good catch today," says Taizo Takasu, the executive director of Takasui, a fisheries company in Nobeoka, Miyazaki Prefecture, holding a tablet in his hand. Takasu, 52, is a chief fisherman of a fleet that catches sardines and mackerel with fishing nets offshore in southwestern Kyushu. Since last year, he has been taking part in an experiment that uses AI to select fishing areas.