Raman spectroscopy combined with support vector regression and variable selection method for accurately predicting salmon fillets storage time
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials
Reference36 articles.
1. Development of a statistical model to detect quality and storage conditions of Atlantic salmon;Shumilina;Food Chem.,2018
2. Application of VIS/NIR spectroscopy and SDAE-NN algorithm for predicting the cold storage time of salmon;Wu;J. Spectrosc.,2018
3. An improved nondestructive measurement method for salmon freshness based on spectral and image information fusion;Wu;Comput. Electron. Agric.,2019
4. Sensory evaluation of fish freshness and eating qualities;Green;Handb. Seaf. Qual. Saf. Heal. Appl.,2010
5. Kinetics of protein and textural changes in Atlantic salmon under frozen storage;Aguilera Barraza;Food Chem.,2015
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