期刊
ICES JOURNAL OF MARINE SCIENCE
卷 79, 期 2, 页码 263-284出版社
OXFORD UNIV PRESS
DOI: 10.1093/icesjms/fsab264
关键词
computer vision; fish classification; machine learning
资金
- National Key Research and Development Program of China [2019YFE0103700]
This paper provides an overview of machine vision models applied in fish classification, discusses specific applications of various classification methods, and explores the challenges and future research directions in the field of fish classification.
Automatic classification of different species of fish is important for the comprehension of marine ecology, fish behaviour analysis, aquaculture management, and fish health monitoring. In recent years, many automatic classification methods have been developed, among which machine vision-based classification methods are widely used with the advantages of being fast and non-destructive. In addition, the successful application of rapidly emerging deep learning techniques in machine vision has brought new opportunities for fish classification. This paper provides an overview of machine vision models applied in the field of fish classification, followed by a detailed discussion of specific applications of various classification methods. Furthermore, the challenges and future research directions in the field of fish classification are discussed. This paper would help researchers and practitioners to understand the applicability of machine vision in fish classification and encourage them to develop advanced algorithms and models to address the complex problems that exist in fish classification practice.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据