The ship industry-academia-regional collaboration promotion organization collects data on marine fish, etc. on June 6. The cruise ship "Diamond Princess" where an outbreak of new coronavirus infections occurred is seen in Tsurumi Ward, Yokohama, on Feb. 9, 2020. (Mainichi/Takehiko Onishi) Mainichi Shimbun) (2) Development of fisheries integrated support system that realizes resilient and sustainable fisheries using marine organism big data and training of marine AI human resources ① Acquisition of data related to the distribution of marine products and analysis with AI ② Market prices Construction of an integrated database of and social big data and AI analysis (6) Acquisition of data related to aquaculture of marine products and analysis with AI (1) Establishment of AI analysis methods to solve other problems in the marine field a. Using Gaussian Markov Random Field Spatio-temporal distribution modeling and its application b. Risk assessment of domestic settlement of Chinese mitten crab using multispecies simultaneous species distribution model c. Application to local-scale resource assessment and management using spatio-temporal distribution modeling d.Construction of highly accurate nitrate profile data in the ocean e.System development of self-supervised contrast learning method as a basis for AI analysis of marine big data f. Examination of the reproducibility of the spatio-temporal evolution model obtained by AI learning g.Construction of a red tide monitoring system based on citizen science (2) Construction of big data for environmentally friendly smart fisheries and its application to production, distribution, and consumption (3) Ocean using a free-fall towed high-resolution camera-equipped observation system Development of 3D mapping method for low-level ecosystems (FS) (4) Examination of AI utilization methods that contribute to technical breakthroughs in marine resource flow assurance (5) Acquisition of big data related to human health onboard and analysis with AI (6) Development of fuel-efficient navigation detection technology for fishing boats focusing on wave-making resistance interference (7) Digitization of fisheries-related materials (8) Extraction and classification of papers using big data acquisition and AI analysis techniques 〇 Examples of issues related to the corona crisis (group infections of ships, sluggish seafood prices, etc.) 〇Research methods to date to solve issues Identify issues through field surveys, and conduct research based on the information and samples obtained. promotion.Build a network in the shipping, fisheries, fishery distribution, etc., and use it for research. 〇 New research methods for problem solving Promote big data and AI analysis research using networks such as ships, fisheries and distribution industries. 〇 Support by industry-academia-regional collaboration promotion organization, cooperation with AI center Kesennuma fishing port Kesennuma fish market Port town / protection of fishermen from corona disaster Maintain market function at each fish market in Ishinomaki, Kesennuma, and Shiogama in April, transaction price There were notable cases in which .This is because orders from restaurants and lodging facilities that have been forced to close or shorten business hours due to the refraining from going out have decreased sharply.The Ishinomaki Fish Market boasts the largest catch in the Tohoku region, with approximately XNUMX tons last year. Sales for the month of April were XNUMX million yen, down XNUMX% from the same month last year. (Kahoku Shimpo) Acquisition of freshwater fish data Oizumi Station AI Center Etchujima Campus Shinagawa Campus Collaborative organization inside and outside the university Fisheries distribution industry Sanriku satellite XNUMX.Acquisition of marine big data, promotion of AI analysis research
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