Predicting the Fishery Ground of Jumbo Flying Squid (<i>Dosidicus gigas</i>) off Peru by Extracting Features of the Ocean Environment

Predicting the Fishery Ground of Jumbo Flying Squid (<i>Dosidicus gigas</i>) off Peru by Extracting Features of the Ocean Environment

We introduce a novel method that combines satellite data, advanced clustering techniques, machine learning feature extraction, and statistical models to enhance fishery forecasting accuracy. Focusing on jumbo flying squid in the southeast Pacific Ocean near Peru, we utilize MODIS-Aqua and MODIS-Terr...

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Bibliographic Details
Main Authors: Tianjiao Zhang, Jia Xin, Wei Yu, Hongchun Yuan, Liming Song, Zhuo Yang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Fishes
Subjects:
deep convolutional embedded clustering
Davies–Bouldi index
machine learning
fishery forecast
Online Access:https://www.mdpi.com/2410-3888/9/3/81

Internet

https://www.mdpi.com/2410-3888/9/3/81

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