[Summary] ●Results and directions for future development: Although underwater cameras are superior to sonar in terms of cost, many problems have also been identified.Therefore, in the future, we will also work on a machine learning approach that combines data such as tides (measurement, big data). (2018): We sampled seawater in Toba City, Mie Prefecture, and clarified the difference in environmental conditions between good and bad fishing grounds. ●Results and directions for future development: We were able to sort out the differences in physical and biological environmental conditions in the oyster farming grounds.In the future, we will aim to improve productivity, develop efficient new fishing grounds, and establish a method of cooperation between production areas that responds to environmental changes by combining environmental big data and measurement data. ③: In Yokosuka City, Kanagawa Prefecture, we measured the environmental conditions, sampled natural oysters and mussels, and examined the possibility of research using natural shellfish. ●Results and directions for future development: By elliptical Fourier analysis, we were able to quantitatively evaluate the shell shape (Fig. 12).Environmental data and income data were also obtained.In the future, we will work on an analysis that combines these.As described above, various types of data were obtained, and we believe that we were able to show the future utilization of marine big data, research based on machine learning, and the path of contribution to local communities and actual industry (fishery).Research representative ?Aiming to use natural science knowledge and data for management and economics ?Takahiro Matsui (Ocean Policy and Culture Division) aiming to contribute to local communities and actual industry (fishery) 70 Image of fixed net monitoring system (Gate Co., Ltd., Kumano City, Mie Prefecture) Fig. 3 Shape of Pacific oyster shell In December XNUMX, the Fisheries Act was fundamentally revised for the first time in about XNUMX years.There, the improvement of productivity as well as the sophistication of resource management are raised, and the smart fishery and fisheries industry that utilizes ICT and various data is being promoted.Behind this is the difficult situation surrounding Japanese fisheries.If we are focusing on food supply, we should shift to more efficient fishing methods. It must be delivered not only to deep-sea and offshore large-scale fisheries, but also to aquaculture and coastal small-scale fisheries.Overview of the project Results and future prospects Based on this awareness of the issues, this project aims to propose new aquaculture and set-net fisheries methods using ICT and environmental data. was carried out and the following results were obtained. ①: In Kumano City, Mie Prefecture and Nishiizu Town, Shizuoka Prefecture, we obtained image data on a trial basis using a fixed net monitoring system using underwater cameras (Fig. XNUMX), and the possibility of using it for estimating catches and identifying fish species. We also examined the possibility of using it in terms of management, such as optimizing the amount of ice used and judging the timing of fishing trips.Implementation system and other noteworthy matters XNUMX.Acquisition of marine big data and promotion of AI analysis research (XNUMX) Construction of big data for environmentally friendly smart fisheries and its application to production, distribution and consumption
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