Otolith Image-Based Age Classification of Japanese Jack Mackerel <i>Trachurus japonicus</i> Using Convolutional Neural Networks

Reliable age information is needed for fisheries assessment, but conventional otolith reading requires trained readers and considerable time. This study evaluated whether convolutional neural networks could classify reader-assigned age classes of Japanese jack mackerel <i>Trachurus japonicus</i> dir...

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Principais autores:	Min-Su You, Chul-Woong Oh
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-06-01
coleção:	Journal of Marine Science and Engineering
Assuntos:	age classification convolutional neural network deep learning fish aging otolith image <i>Trachurus japonicus</i>
Acesso em linha:	https://www.mdpi.com/2077-1312/14/12/1145
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