Establishing an eyeball-weight relationship for Litopenaeus vannamei using machine vision technology

doi:10.1016/j.aquaeng.2019.102014

CORC > 海洋研究所 > 中国科学院海洋研究所 > 实验海洋生物学重点实验室

	Establishing an eyeball-weight relationship for Litopenaeus vannamei using machine vision technology
	Chen, Fudi 1,2; Xu, Jianping 1,2; Wei, Ying 1,2; Sun, Jianming 2
刊名	AQUACULTURAL ENGINEERING
	2019-11-01
卷号	87 页码:8
关键词	Recirculating aquaculture system (RAS) Litopenaeus vannamei Eyeball axial length Eyeball-weight relationship Piecewise fitting
ISSN号	0144-8609
DOI	10.1016/j.aquaeng.2019.102014
通讯作者	Sun, Jianming(jianming_sun@outlook.com)
英文摘要	This study aimed to establish a shrimp eyeball-weight relationship model for Litopenaeus vannamei using machine vision technology. A total of 295 shrimp were sampled from a recirculating aquaculture system (RAS). The long-axis length (d), body length (L), and body weight (W) of each individual was measured. The long axis length of the shrimp eyeball was identified and measured using machine vision technology. Continuous fitting and piecewise fitting models were used to construct the eyeball-weight relationship model for L. vannamei. The continuous fitting relationship model was described as: W = 38.865d(2)(,7)(914), while the piecewise model was described as: d < 2 mm, W = 0.0326d(3.)(7363), R-2 = 0.9288; 2 mm <= d < 3.9 mm, W = 0.0401d(3)(.104), R-2 = 0.9629; 3.9 mm <= d < 5.8 mm, W = 0.0421d(3.0311), R-2 = 0.9216; 5.8 mm < d, W = 0.103d(2.6226), R-2 = 0.9457. The root mean square error (RMSE) of the piecewise fitting model (0.0244, 0.1575, 0.5034, 0.7072) was smaller than the continuous fitting model (0.8229). The correlation coefficient (R-2) of the piecewise model (0.9288, 0.9629, 0.9216, and 0.9457) was similar to that of the continuous fitting model (R-2 = 0.9621). The results indicated that the piecewise fitting model is suitable for calculating the biomass of L. vannamei in RAS and provides a novel way of estimating the biomass of L. vannamei cultured in RAS. The piecewise fitting model can also provide the foundation of evaluating the production of shrimp using underwater image recognition in intelligent aquaculture systems.
资助项目	National Key R&D Program of China[2017YFD0701703] ; National Key R&D Program of China[2017YFE0118300]
WOS研究方向	Agriculture ; Fisheries
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000528488600002
内容类型	期刊论文
源URL	[http://ir.qdio.ac.cn/handle/337002/167298]
专题	海洋研究所_实验海洋生物学重点实验室
通讯作者	Sun, Jianming
作者单位	1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Expt Marine Biol, Qingdao 266071, Peoples R China
推荐引用方式 GB/T 7714	Chen, Fudi,Xu, Jianping,Wei, Ying,et al. Establishing an eyeball-weight relationship for Litopenaeus vannamei using machine vision technology[J]. AQUACULTURAL ENGINEERING,2019,87:8.
APA	Chen, Fudi,Xu, Jianping,Wei, Ying,&Sun, Jianming.(2019).Establishing an eyeball-weight relationship for Litopenaeus vannamei using machine vision technology.AQUACULTURAL ENGINEERING,87,8.
MLA	Chen, Fudi,et al."Establishing an eyeball-weight relationship for Litopenaeus vannamei using machine vision technology".AQUACULTURAL ENGINEERING 87(2019):8.