FN Archimer Export Format
PT J
TI Automated sorting for size, sex and skeletal anomalies of cultured seabass using external shape analysis
BT 
AF COSTA, C.
   ANTONUCCI, F.
   BOGLIONE, C.
   MENESATTI, P.
   VANDEPUTTE, Marc
   CHATAIN, Beatrice
AS 1:1;2:1;3:2;4:1;5:3,4;6:4;
FF 1:;2:;3:;4:;5:;6:PDG-RBE-BOME-LALR;
C1 Agr Res Council, CRA ING Agr Engn Res Unit, I-00015 Monterotondo, RM, Italy.
   Univ Roma Tor Vergata, Dept Biol, LESA Lab Expt Ecol & Aquaculture, I-00133 Rome, Italy.
   INRA, Genet Anim & Biol Integrat UMR 1313, F-78350 Jouy En Josas, France.
   IFREMER, INTREPID UMR110, F-34250 Palavas Les Flots, France.
C2 AGR RES COUNCIL, ITALY
   UNIV ROMA TOR VERGATA, ITALY
   INRA, FRANCE
   IFREMER, FRANCE
SI PALAVAS
SE PDG-RBE-BOME-LALR
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-p187
   copubli-europe
IF 1.232
TC 64
UR https://archimer.ifremer.fr/doc/00119/23052/84129.pdf
LA English
DT Article
DE ;Image analysis;Fish sorting;Elliptic Fourier analysis;Partial least squares modelling;Quality grading
AB In aquaculture, automation of fish processing by computer vision could reduce operating costs, improving product quality and profit. Currently fish are mechanically sorted by size, but market constraints require that externally malformed fish be removed as well. Additionally fish farmers screen for sex, in order to exploit the higher growth potential of females. The aim of this study was the development of methodological tools applicable to the on-line sorting of farmed seabass (Dicentrarchus labrax, L) for size, sex and presence of abnormalities. These tools are based on image analysis and utilizing outline morphometry (Elliptic Fourier analysis) combined with multivariate techniques (based on partial least squares modelling). Moreover, the integration of these techniques produce size estimation (in weight) with a better regression efficiency (r=0.9772) than the commonly used log of the measured body length (r=0.9443). The two partial least squares discriminant analysis models used to select sex and malformed fish also returned high discrimination efficiencies (82.05% and 88.21%, respectively). The implementation of a similar approach within an on-line sorting machine would allow for real-time live fish processing. (C) 2012 Elsevier B.V. All rights reserved.
PY 2013
PD JAN
SO Aquacultural Engineering
SN 0144-8609
PU Elsevier Sci Ltd
VL 52
UT 000313603500006
BP 58
EP 64
DI 10.1016/j.aquaeng.2012.09.001
ID 23052
ER

EF