Identification of Near Geographical Origin of Wolfberries by a Combination of Hyperspectral Imaging and Multi-Task Residual Fully Convolutional Network.

Cui, Jiarui; Li, Kenken; Hao, Jie; Dong, Fujia; Wang, Songlei; Rodas-González, Argenis; Zhang, Zhifeng; Li, Haifeng; Wu, Kangning

Cui, Jiarui; Li, Kenken; Hao, Jie; Dong, Fujia; Wang, Songlei; Rodas-González, Argenis; Zhang, Zhifeng; Li, Haifeng; Wu, Kangning.

Afiliação

Cui J; School of Food and Wine, Ningxia University, Yinchuan 750021, China.
Li K; School of Food and Wine, Ningxia University, Yinchuan 750021, China.
Hao J; School of Food and Wine, Ningxia University, Yinchuan 750021, China.
Dong F; School of Food and Wine, Ningxia University, Yinchuan 750021, China.
Wang S; School of Food and Wine, Ningxia University, Yinchuan 750021, China.
Rodas-González A; Department of Animal Science, Faculty of Agricultural and Food Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada.
Zhang Z; School of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Li H; School of Food and Wine, Ningxia University, Yinchuan 750021, China.
Wu K; Ningxia Huaxinda Health Science and Technology Co., Ltd., Lingwu 751400, China.

Foods ; 11(13)2022 Jun 29.

Article em En | MEDLINE | ID: mdl-35804752

Palavras-chave

Bayesian optimization; deep learning; denoising auto-encoder; fusion of spectral and image; hyperspectrum; multitask; origin identification; up-sampling; wolfberry

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Foods Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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