Towards realization of smart fisheries: development of a support and management system for rocky shore fisheries with abalone fishing as a case study

2020 Fiscal Year Final Research Report

• Project/Area Number: 19K20298
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 61010:Perceptual information processing-related
• Research Institution: Akita University of Art
• Principal Investigator: Ayata Adiljan 秋田公立美術大学, 大学院, 助手 (10726938)
• Project Period (FY): 2019-04-01 – 2021-03-31
• Keywords: アワビ漁 / 漁獲支援システム / スマート水産業 / 知覚情報処理 / 機械学習

Outline of Final Research Achievements

With abalone fishing as a case study, we proposed an efficient fishing method which can be used as an alternative to the traditional fishing for reducing the labor load . In this method the data collection can also be done for sustainable resource management and evaluation. Although it is a case study of abalone fishing, it can be applied to other rocky shore fishing. Furthermore, it became clear that abalone recognition from images taken with an underwater camera is also effective for undersea surveys for resource evaluation. In addition, it is also confirmed that providing a method which can recognize other rocky shore resources will be useful for resource evaluation carried out in diving surveys.

Free Research Field

知覚情報処理

Academic Significance and Societal Importance of the Research Achievements

近年，漁業の特殊性を考慮したICTやAIなどの活用によるスマート水産業の実現が強く求められている．水産分野では，生産効率向上に関する研究開発への取り組みが多く報告されているが，アワビ漁のような伝統的な磯根漁業における漁法を対象とした研究が少ないのが現状である．本研究の取り組みはアワビ漁を事例対象にしているが、ほかの磯根漁に転用可能であり、研究で確立した方法は持続的な資源管理・評価のために実施される海底調査に活用可能であることできる。