您好，欢迎访问中国水产科学研究院 机构知识库！
中国水产科学研究院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

An Experimental Study on Estimating the Quantity of Fish in Cages Based on Image Sonar

文献类型： 外文期刊

作者： Zhu, Guohao 1 ; Li, Mingyang 1 ; Hu, Jiazhen 1 ; Xu, Luyu 1 ; Sun, Jialong 1 ; Li, Dazhang 4 ; Dong, Chao 5 ; Huang, Xiaohua 2 ; Hu, Yu 2 ;

作者机构： 1.Jiangsu Ocean Univ, Sch Geomat & Marine Informat, Lianyungang 222001, Peoples R China

2.Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Key Lab South China Sea Fishery Resources Exploita, Minist Agr & Rural Affairs, Guangzhou 510300, Peoples R China

3.Jiangsu Marine Resources Dev Res Inst, Lianyungang 222005, Peoples R China

4.Zhejiang Prov Subordinate Architectural Design Ins, Hangzhou 310007, Peoples R China

5.Minist Nat Resources, Key Lab Marine Environm Survey Technol & Applicat, Guangzhou 510300, Peoples R China

6.Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Trop Fisheries Res & Dev Ctr, Sanya 572018, Peoples R China

关键词： cage fish; forward-looking image sonar; target recognition; quantity estimation

期刊名称：JOURNAL OF MARINE SCIENCE AND ENGINEERING （ 影响因子：2.7； 五年影响因子：2.8 ）

ISSN：

年卷期： 2024 年 12 卷 7 期

页码：

收录情况： SCI

摘要： To address the highly demanding assessment of the quantity of fish in cages, a method for estimating the fish quantity in cages based on image sonar is proposed. In this method, forward-looking image sonar is employed for continuous detection in cages, and the YOLO target detection model with attention mechanism as well as a BP neural network are combined to achieve a real-time automatic estimation of fish quantity in cages. A quantitative experiment was conducted in the South China Sea to render a database for training the YOLO model and neural network. The experimental results show that the average detection accuracy mAP50 of the improved YOLOv8 is 3.81% higher than that of the original algorithm. The accuracy of the neural network in fitting the fish quantity reaches 84.63%, which is 0.72% better than cubic polynomial fitting. In conclusion, the accurate assessment of the fish quantity in cages contributes to the scientific and intelligent management of aquaculture and the rational formulation of feeding and fishing plans.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：中国水产科学研究院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台