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

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第一作者： Xiuwei,Yan

第一单位： College of Food Science and Engineering, Ningxia University, Yinchuan 750021, China.

作者： Xiuwei,Yan ^[1] ; Sijia,Liu ^[1] ; Songlei,Wang ^[1] ; Jiarui,Cui ^[2] ; Yongrui,Wang ^[2] ; Yu,Lv ^[1] ; Hui,Li ^[1] ; Yingjie,Feng ^[1] ; Ruiming,Luo ^[2] ; Zhifeng,Zhang ^[3] ; Lei,Zhang ^[1]

作者单位： College of Food Science and Engineering, Ningxia University, Yinchuan 750021, China. ^[1] College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China. ^[2] College of Aquaculture, Huazhong Agricultural University, Wuhan 430070, China. ^[3]

关键词 Bayes linoleic acid long short-term memory network red meat visible near-infrared hyperspectral imaging

DOI 10.3390/foods13030424

PMID 38338559

发布时间 2024-02-12

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Foods (Basel, Switzerland)

2024年13卷3期

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

Foods (Basel, Switzerland)

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

Foods (Basel, Switzerland)

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Foods (Basel, Switzerland)

相关期刊

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