Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
32nd (2018)
Session ID : 1B2-OS-11b-02
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Verification of Fish Species Estimation Model Based on Echo Sounder Image
*Yudai HIRAMASoichiro YOKOYAMATomohisa YAMASHITAHidenori KAWAMURAKeiji SUZUKIMasaaki WADA
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Abstract

The overfishing and depletion of marine resources including tuna have become problems in Japan. Managing to marine resource is necessary to increase catch amount. However, set-net is difficult to separate fish speceis. Therefore, this research used a sonar image obtained by an echo sounder installed in a set-net. We verify of fish species estimation model based on echo sounder image.

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© 2018 The Japanese Society for Artificial Intelligence
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