Species Identification of Bycatch Fish Using Convolutional Neural Network

Abstract

In bottom trawl fishing, "bycatch fish" has a problem which is wastage of resources to be discarded after being landed. Because of the effective utilization of bycatch fish, Doctor Wada (2021) has research about the food processing to “surimi” from bycatch fish. It’s necessary to identify the species of bycatch fish, because includes both usable and unusable fish species for surimi. However, this previous study identifies the fish species manually with human eyes. Therefore, we proposed to automatically identify bycatch fish species using Convolutional Neural Network. This study verified whether convolutional neural networks can be used to discriminate bycatch fish species. So, we will present the verification conducted in this study.