Cephalopod species identification using integrated analysis of machine learning and deep learning approaches

PeerJ2.70
Volume: 9, Pages: e11825 - e11825
Published: Aug 9, 2021
Abstract
Despite the high commercial fisheries value and ecological importance as prey item for higher marine predators, very limited taxonomic work has been done on cephalopods in Malaysia. Due to the soft-bodied nature of cephalopods, the identification of cephalopod species based on the beak hard parts can be more reliable and useful than conventional body morphology. Since the traditional method for species classification was time-consuming, this...
Paper Details
Title
Cephalopod species identification using integrated analysis of machine learning and deep learning approaches
Published Date
Aug 9, 2021
Journal
Volume
9
Pages
e11825 - e11825
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