NIR Hyperspectral Imaging Technology Combined with Multivariate Methods to Identify Shrimp Freshness

NIR Hyperspectral Imaging Technology Combined with Multivariate Methods to Identify Shrimp Freshness

In this study, a hyperspectral imaging system of 866.4–1701.0 nm, combined with a variety of spectral processing methods were adopted to identify shrimp freshness. To gain the optimal model combination, three preprocessing methods (Savitzky-Golay first derivative (SG1), multivariate scatter correcti...

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Bibliographic Details
Main Authors: Rongke Ye, Yingyi Chen, Yuchen Guo, Qingling Duan, Daoliang Li, Chunhong Liu
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied Sciences
Subjects:
hyperspectral imaging
shrimp freshness
standard normal variate
competitive adaptive reweighted sampling
extreme learning machine
object-wise
Online Access:https://www.mdpi.com/2076-3417/10/16/5498

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https://www.mdpi.com/2076-3417/10/16/5498

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