Predictive Analysis of Linoleic Acid in Red Meat Employing Advanced Ensemble Models of Bayesian and CNN-Bi-LSTM Decision Layer Fusion Based Hyperspectral Imaging

Predictive Analysis of Linoleic Acid in Red Meat Employing Advanced Ensemble Models of Bayesian and CNN-Bi-LSTM Decision Layer Fusion Based Hyperspectral Imaging

Rapid non-destructive testing technologies are effectively used to analyze and evaluate the linoleic acid content while processing fresh meat products. In current study, hyperspectral imaging (HSI) technology was combined with deep learning optimization algorithm to model and analyze the linoleic ac...

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Bibliographic Details
Main Authors: Xiuwei Yan, Sijia Liu, Songlei Wang, Jiarui Cui, Yongrui Wang, Yu Lv, Hui Li, Yingjie Feng, Ruiming Luo, Zhifeng Zhang, Lei Zhang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Foods
Subjects:
visible near-infrared hyperspectral imaging
red meat
linoleic acid
long short-term memory network
Bayes
Online Access:https://www.mdpi.com/2304-8158/13/3/424

Internet

https://www.mdpi.com/2304-8158/13/3/424

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