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Discrimination of unsound wheat kernels based on deep convolutional generative adversarial network and near-infrared hyperspectral imaging technology.
Li, Hao; Zhang, Liu; Sun, Heng; Rao, Zhenhong; Ji, Haiyan.
Afiliação
  • Li H; College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, China Agricultural University, Beijing 100083, China.
  • Zhang L; College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, China Agricultural University, Beijing 100083, China.
  • Sun H; College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, China Agricultural University, Beijing 100083, China.
  • Rao Z; College of Science, China Agricultural University, Beijing 100083, China.
  • Ji H; College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, China Agricultural University, Beijing 100083, China. Electronic address: yuntian@cau.edu.cn.
Spectrochim Acta A Mol Biomol Spectrosc ; 268: 120722, 2022 Mar 05.
Article em En | MEDLINE | ID: mdl-34902690
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article