水产学报2025，Vol.49Issue(11)：12-25,14.DOI:10.11964/jfc.20230213899
机器学习在鱼类物种识别和种群判别中的应用
Application of machine learning in fish species identification and stock discrimination
摘要
Abstract
Fish plays an important role in the marine ecosystem and is one of the main sources of protein for humans.One of the key issues in fishery resource exploration is the accurate identification of fish species and the correct discrimination of fish stocks.In the context of big data,machine learning techniques as emerging data processing techniques have gradually replaced traditional methods.Compared with traditional data analysis,machine learning has shown the advantages of high accuracy,high robustness and high efficiency while dealing with massive and high-dimensional ocean data.Its advantages are gradually recognized in the field of marine biology and ecology.This review firstly introduces that the current focus of fish study which has migrated to machine learning,then summarizes the applications of machine learning in fish species identification and stock discrimination in terms of data sources,feature selection,and classifiers.This review then introduces application scenarios of various deep learning neural networks,with Convolutional Neural Networks as representative,in fish species identification.The advantages and disadvantages of each classifier and the traits of fish species that suits to those classifiers are summarized from the perspective of predictability,expandability,and data sensitivity.Finally,common metrics for currently evaluating the effectiveness of models are summarized.The characteristics of ecological resource data and the development status of deep learning in the era of big data are synthesized,and the problems and challenges of the applications of machine learning in fish species identification and fish stock discrimination are also summarized.关键词
鱼类/机器学习/种群判别/物种识别/神经网络/深度学习Key words
fish/machine learning/population/species identification/neural networks/deep learning分类
农业科技引用本文复制引用
朱国平,曹丹,陈毓雯..机器学习在鱼类物种识别和种群判别中的应用[J].水产学报,2025,49(11):12-25,14.基金项目
上海市东方英才计划拔尖项目优秀学术带头人专题(BJKJ2024059) （BJKJ2024059）
国家重点研发计划(2023YFE0104500) Shanghai Top-tier Talent Program of Eastern Talent Plan(BJKJ2024059) （2023YFE0104500）
National Key Research and Development Program of China(2023YFE0104500) （2023YFE0104500）
