The 68th Conference on Hydraulic Engineering

Presentation information

Oral_Session_ cross-disciplinary approaches

[S21] Machine learning

Wed. Dec 13, 2023 9:30 AM - 11:30 AM Room5 (Seminar Room 6AB)

Chair:MASAYUKI HITOKOTO Chair2:Ryo Kaneko(Chiba University)

10:15 AM - 10:30 AM

[150] DEEP LEARNING OF UNDERWATER IMAGES AND TRAINING DATA CRITERIA FOR UNDERSTANDING FEEDING INJURY OF ACANTHOPAGRUS SCHLEGELII IN NORI SEAWEED FARMS

Keisuke YOSHIDA1, Shijun PAN2, Takahiro YOKOYAMA3, Yasushi YAMASHITA3, *Yuki UEDA2, Hiroyuki SUGINO3, Takashi KOJIMA4 (1. 岡山大学学術研究院 環境生命自然科学学域、2. 岡山大学大学院 環境生命科学研究科、3. 岡山県農林水産総合センター水産研究所、4. 株式会社東京建設コンサルタント 環境防災研究所)

Keywords:Acanthopagrus schlegelii、deep learning、nori seaweed farm、object detection、SAM

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