Advances in infrared spectroscopy combined with artificial neural network for the authentication and traceability of food.

Liang, Ning; Sun, Sashuang; Zhang, Chu; He, Yong; Qiu, Zhengjun

Liang, Ning; Sun, Sashuang; Zhang, Chu; He, Yong; Qiu, Zhengjun.

Afiliación

Liang N; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Sun S; Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou, China.
Zhang C; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
He Y; Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou, China.
Qiu Z; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.

Crit Rev Food Sci Nutr ; 62(11): 2963-2984, 2022.

Article en En | MEDLINE | ID: mdl-33345592

Asunto(s)

Análisis de los Alimentos; Alimentos; Análisis de los Alimentos/métodos; Calidad de los Alimentos; Redes Neurales de la Computación; Espectrofotometría Infrarroja

Palabras clave

Hyperspectral imaging; convolutional neural network; deep learning; food quality; food safety

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Alimentos / Análisis de los Alimentos Idioma: En Revista: Crit Rev Food Sci Nutr Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2022 Tipo del documento: Article País de afiliación: China

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