Research on Measuring the Bodies of Underwater Fish with Inclined Positions Using the YOLOv8 Model and a Line-Laser System
文献类型： 外文期刊
作者： Li, Jiakang 1 ; Zhang, Shengmao 1 ; Li, Penglong 3 ; Dai, Yang 1 ; Wu, Zuli 1 ;
作者机构： 1.Chinese Acad Fishery Sci, Minist Agr & Rural Affairs, East China Sea Fisheries Res Inst, Key Lab Fisheries Remote Sensing, Shanghai 200090, Peoples R China
2.Shanghai Ocean Univ, Coll Informat Technol, Shanghai 200090, Peoples R China
3.Dalian Ocean Univ, Sch Nav & Naval Architecture, Dalian 116023, Peoples R China
关键词： fish farming; fish body measurement; YOLOv8; fish identification; critical point detection
期刊名称：FISHES （ 影响因子：2.1； 五年影响因子：2.4 ）
ISSN：
年卷期： 2024 年 9 卷 6 期
页码：
收录情况： SCI
摘要： Fish body measurement is essential for monitoring fish farming and evaluating growth. Non-destructive underwater measurements play a significant role in aquaculture management. This study involved annotating images of fish in aquaculture settings and utilized a line laser for underwater distance calibration and fish body inclined-angle calculation. The YOLOv8 model was employed for fish identification and key-point detection, enabling the determination of actual body dimensions through a mathematical model. The results show a root-mean-square error of 6.8 pixels for underwater distance calibration using the line laser. The pre-training YOLOv8-n, with its lower parameter counts and higher MAP values, proved more effective for fish identification and key-point detection, considering speed and accuracy. Average body length measurements within 1.5 m of the camera showed a minor deviation of 2.46% compared to manual measurements. The average relative errors for body length and width were 2.46% and 5.11%, respectively, with corresponding average absolute errors. This study introduces innovative techniques for fish body measurement in aquaculture, promoting the digitization and informatization of aquaculture processes.
- 相关文献
作者其他论文 更多>>
-
Characteristics and distribution model of wind and wave in Shengsi mussel culture area under the impacts of tropical cyclones
作者：Wu, Zuli;Xiong, Minsi;Shi, Yongchuang;Song, Yunpeng;Dai, Yang;Zhang, Shengmao
关键词：typhoon; fisheries mutual aid insurance; floating raft aquaculture; wind and wave model
-
Spatial information extraction of fishing grounds for light purse seine vessels in the Northwest Pacific Ocean based on AIS data
作者：Wan, Lijun;Wan, Lijun;Cheng, Tianfei;Fan, Wei;Shi, Yongchuang;Zhang, Heng;Zhang, Shengmao;Yu, Linlin;Dai, Yang;Yang, Shenglong;Cheng, Tianfei;Fan, Wei;Shi, Yongchuang;Zhang, Heng;Zhang, Shengmao;Dai, Yang;Yang, Shenglong;Zhang, Shengmao;Dai, Yang;Yu, Linlin
关键词：Northwest pacific ocean; Light purse seine vessels; AIS; GMM; KDE; HSA
-
Cause Analysis and Preventive Measures against False Bottoms in Echosounder Data
作者：Xiong, Xinquan;He, Ruilin;Fan, Wei;Wu, Zuli;Yu, Shengchi;Wang, Zhongqiu;Wang, Yongjin;Dai, Yang;Xiong, Xinquan;He, Ruilin;Dai, Yang
关键词：echosounder; false bottom; imaging characteristics; judging position; eliminate
-
Quantifying the spatial nonstationary response of environmental factors on purse seine tuna vessel fishing
作者：Wang, Wei;Zhang, Shengmao;Wang, Wei;Fan, Wei;Wu, Yumei;Zhang, Shengmao;Zhou, Weifeng;Fan, Xiumei;Yang, Shenglong;Wang, Wei;Fan, Wei;Wu, Yumei;Zhang, Shengmao;Zhou, Weifeng;Fan, Xiumei;Yang, Shenglong;Shi, Jiashu;Jin, Weiguo;Wang, Guolai
关键词：Tuna; Western and Central Pacific Ocean; Fishing effort; GWR; Spatial distribution; Spatial heterogeneity
-
YOLOv7-DCN-SORT: An algorithm for detecting and counting targets on Acetes fishing vessel operation
作者：Sun, Yueying;Zhang, Shengmao;Shi, Yongchuang;Tang, Fenghua;Dai, Yang;Sun, Yueying;Chen, Junlin;Xiong, Ying;Li, Lin
关键词：Offshore fishing; Deep learning; YOLOv7; Hungarian matching method; Kalman filter
-
Estimation of Artificial Reef Pose Based on Deep Learning
作者：Song, Yifan;Wu, Zuli;Zhang, Shengmao;Quan, Weimin;Shi, Yongchuang;Xiong, Xinquan;Li, Penglong;Song, Yifan;Xiong, Xinquan;Li, Penglong
关键词：artificial reefs; YOLOv8; key point detection; pose estimation
-
Spatio-temporal variability of fishing habitat suitability to tuna purse seine fleet in the Western and Central Pacific Ocean
作者：Yang, Shenglong;Wang, Lijun;Zhang, Shengmao;Yu, Linlin;Zhang, Heng;Wang, Fei;Wu, Yumei;Wu, Zuli;Wang, Wei;Shi, Jiayu;Jiang, Keji;Fan, Wei;Yang, Shenglong;Zhang, Shengmao;Zhang, Heng;Wang, Fei;Wu, Yumei;Wu, Zuli;Jiang, Keji;Fan, Wei;Wang, Lijun;Shi, Jiayu;Fei, Yingjie;Yu, Linlin;Wang, Wei
关键词：Automatic identification system; Tuna purse seine fleet; Fishing habitat suitability; Satellite remote sensing data
