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基于改进YOLOv8n模型的南极磷虾群智能检测技术研究

杨浩东 郑汉丰 王永进 马硕 吴祖立 谢雨家 戴阳

海洋渔业2026,Vol.48Issue(3):341-356,16.
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海洋渔业2026,Vol.48Issue(3):341-356,16.

基于改进YOLOv8n模型的南极磷虾群智能检测技术研究

Research on intelligent detection technology for Antarctic krill swarms based on improved YOLOv8n model

杨浩东 1郑汉丰 1王永进 2马硕 2吴祖立 1谢雨家 1戴阳1

作者信息

  • 1. 中国水产科学研究院东海水产研究所,农业农村部渔业遥感重点实验室,上海 200090
  • 2. 中国水产科学研究院东海水产研究所捕捞与渔业工程研究室,上海 200090
  • 折叠

摘要

Abstract

Antarctic krill(Euphausia superba)is the most abundant biological resource in global fisheries.The advancement of its fishing technology is of great significance for improving fishing efficiency and economic benefits in polar fisheries.Intelligent trawl beams based on sonar image recognition have been gradually applied to Antarctic krill fishing.To address the low-efficiency problem caused by long-time manual sonar image recognition,the study proposes an improved lightweight model,RG-EA-YOLOv8n-seg,for intelligent trawl data preprocessing.In this model,the RepGhost module is introduced to reduce computational cost during inference;a C2f-Trans module is incorporated to enhance global context perception;BiFPN is adopted to strengthen multi-scale feature fusion;and the CoECA attention mechanism is utilized to dynamically suppress background noise.Experimental results on our self-built acoustic dataset demonstrate a precision of 90.8%,recall of 91.4%,and mAP@0.5 of 88.7%,representing improvements of 4.6%,3.9%,and 4.8%respectively over the baseline model,while achieving an inference speed of 27 FPS.Furthermore,the study develops a pixel-level vertical parameter extraction method based on segmentation masks to automatically calculate the center depth,thickness,and seabed depth of krill swarms.With this method,the relative errors of depth and thickness estimation are within±5%,and the seabed depth measurement deviation is less than 0.3 m,providing accurate quantitative support for adjusting the trawl opening depth of intelligent trawls.

关键词

南极磷虾/智能捕捞/声学探测技术/Yolov8n/资源密度/极地海域

Key words

Antarctic krill/intelligent fishing/acoustics detection technology/YOLO8n/resource density/polar waters

分类

农业科技

引用本文复制引用

杨浩东,郑汉丰,王永进,马硕,吴祖立,谢雨家,戴阳..基于改进YOLOv8n模型的南极磷虾群智能检测技术研究[J].海洋渔业,2026,48(3):341-356,16.

基金项目

国家重点研发计划"极地渔业资源高效开发利用技术与装备研发"(2023YFD2401202) (2023YFD2401202)

江苏省海洋资源开发技术创新中心海洋科技类项目南极磷虾精准高效捕捞技术研发(LWKJ-08) (LWKJ-08)

海洋渔业

1004-2490

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