Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality.

An, Dong; Zhang, Liu; Liu, Zhe; Liu, Jincun; Wei, Yaoguang

An, Dong; Zhang, Liu; Liu, Zhe; Liu, Jincun; Wei, Yaoguang.

Afiliação

An D; National Innovation Center for Digital Fishery, China Agricultural University, Beijing, China.
Zhang L; Key Laboratory of Smart Farming Technologies for Aquatic Animals and Livestock, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, China.
Liu Z; Beijing Engineering and Technology Research Center for Internet of Things in Agriculture, Beijing, China.
Liu J; College of Information and Electrical Engineering, China Agricultural University, Beijing, China.
Wei Y; National Innovation Center for Digital Fishery, China Agricultural University, Beijing, China.

Crit Rev Food Sci Nutr ; 63(29): 9766-9796, 2023.

Article em En | MEDLINE | ID: mdl-35442834

Assuntos

Inteligência Artificial; Imageamento Hiperespectral; Humanos; Grão Comestível/química; Espectrofotometria Infravermelho; Qualidade dos Alimentos

Palavras-chave

Grain; machine learning; mid infrared; near infrared; neural network; quality assessment

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Imageamento Hiperespectral Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Crit Rev Food Sci Nutr Ano de publicação: 2023 Tipo de documento: Article

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