Automated Classification of Snow Crab Shell Condition Using Analysis of Field Images

Automated Classification of Snow Crab Shell Condition Using Analysis of Field Images

The snow crab (Chionoecetes opilio) fishery is a significant economic driver in Atlantic Canada. Effective management of this resource requires accurate identification of crabs that have recently molted, which is currently performed through subjective visual assessment of the crab’s shell...

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Bibliographic Details
Main Authors: Ibrahim Kadri, Tobie Surette, Sid Ahmed Selouani, Mohsen Ghribi, Ryan LeBlanc
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Chionoecetes opilio
snow crab
shell condition
non-destructive testing (NDT)
support vector machine (SVM)
multilayer perceptron (MLP)
Online Access:https://ieeexplore.ieee.org/document/11053858/
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https://ieeexplore.ieee.org/document/11053858/

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