IOCAS-IR  > 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, Fudi1,2; Xu, Jianping1,2; Wei, Ying1,2; Sun, Jianming1
2019-11-01
Source PublicationAQUACULTURAL ENGINEERING
ISSN0144-8609
Volume87Pages:8
Corresponding AuthorSun, Jianming(jianming_sun@outlook.com)
AbstractThis 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.
KeywordRecirculating aquaculture system (RAS) Litopenaeus vannamei Eyeball axial length Eyeball-weight relationship Piecewise fitting
DOI10.1016/j.aquaeng.2019.102014
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2017YFD0701703] ; National Key R&D Program of China[2017YFE0118300]
WOS Research AreaAgriculture ; Fisheries
WOS SubjectAgricultural Engineering ; Fisheries
WOS IDWOS:000528488600002
PublisherELSEVIER SCI LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/167299
Collection实验海洋生物学重点实验室
Corresponding AuthorSun, Jianming
Affiliation1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Expt Marine Biol, Qingdao 266071, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
First Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Chen, Fudi]'s Articles
[Xu, Jianping]'s Articles
[Wei, Ying]'s Articles
Baidu academic
Similar articles in Baidu academic
[Chen, Fudi]'s Articles
[Xu, Jianping]'s Articles
[Wei, Ying]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Chen, Fudi]'s Articles
[Xu, Jianping]'s Articles
[Wei, Ying]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.