Comparative Performance Analysis of Support Vector Machine, Random Forest, Logistic Regression and k-Nearest Neighbours in Rainbow Trout (Oncorhynchus Mykiss) Classification Using Image-Based Features-Reference-Cited by-同舟云学术

Comparative Performance Analysis of Support Vector Machine, Random Forest, Logistic Regression and k-Nearest Neighbours in Rainbow Trout (Oncorhynchus Mykiss) Classification Using Image-Based Features

Published:2018-03-29 Issue:4 Volume:18 Page:1027
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Saberioon Mohammadmehdi^ORCID,Císař Petr,Labbé Laurent,Souček Pavel,Pelissier Pablo,Kerneis Thierry

Funder

Horizon 2020

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/18/4/1027/pdf

Reference72 articles.

1. A Review of near Infrared Spectroscopy in Muscle Food Analysis: 2005–2010

2. Fish meal replacement by plant protein substitution and guar gum addition in trout feed, Part I: Effects on feed utilization and fish quality

3. Skin Color Characterization in Rainbow Trout by Use of Computer-Based Image Analysis

4. Effects of dietary astaxanthin and xanthophylls on the growth and skin pigmentation of large yellow croaker Larimichthys croceus

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