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Bayesian Fusion Model Enhanced Codfish Classification Using Near Infrared and Raman Spectrum.
Xu, Yi; Koidis, Anastasios; Tian, Xingguo; Xu, Sai; Xu, Xiaoyan; Wei, Xiaoqun; Jiang, Aimin; Lei, Hongtao.
Affiliation
  • Xu Y; Guangdong Provincial Key Laboratory of Food Quality and Safety/Nation-Local Joint Engineering Research Center for Precision Machining and Safety of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou 510642, China.
  • Koidis A; College of Light Industry and Engineering, Sichuan Technology & Business College, Chengdu 611800, China.
  • Tian X; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China.
  • Xu S; Institute for Global Food Security, Queen's University Belfast, 19 Chlorine Gardens, Belfast BT9 5DJ, UK.
  • Xu X; Guangdong Provincial Key Laboratory of Food Quality and Safety/Nation-Local Joint Engineering Research Center for Precision Machining and Safety of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou 510642, China.
  • Wei X; Public Monitoring Center of Agricultural Products, Guangdong Academy of Agricultural Sciences, Guangzhou 510642, China.
  • Jiang A; Guangdong Provincial Key Laboratory of Food Quality and Safety/Nation-Local Joint Engineering Research Center for Precision Machining and Safety of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou 510642, China.
  • Lei H; Guangdong Provincial Key Laboratory of Food Quality and Safety/Nation-Local Joint Engineering Research Center for Precision Machining and Safety of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou 510642, China.
Foods ; 11(24)2022 Dec 19.
Article in En | MEDLINE | ID: mdl-36553842
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Foods Year: 2022 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Foods Year: 2022 Document type: Article Affiliation country: Country of publication: