Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging.

Wang, Yu-Jie; Li, Lu-Qing; Shen, Shan-Shan; Liu, Ying; Ning, Jing-Ming; Zhang, Zheng-Zhu

Wang, Yu-Jie; Li, Lu-Qing; Shen, Shan-Shan; Liu, Ying; Ning, Jing-Ming; Zhang, Zheng-Zhu.

Afiliación

Wang YJ; State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, China.
Li LQ; State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, China.
Shen SS; State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, China.
Liu Y; State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, China.
Ning JM; State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, China.
Zhang ZZ; State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, China.

J Sci Food Agric ; 100(10): 3803-3811, 2020 Aug.

Article en En | MEDLINE | ID: mdl-32201954

Asunto(s)

Camellia sinensis/química; Imágenes Hiperespectrales/métodos; Hojas de la Planta/química; Camellia sinensis/clasificación; Nitrógeno/análisis; Hojas de la Planta/clasificación; Control de Calidad

Palabras clave

chemometrics; harvested tea leaves; hyperspectral imaging; quality index

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Hojas de la Planta / Camellia sinensis / Imágenes Hiperespectrales Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies Idioma: En Revista: J Sci Food Agric Año: 2020 Tipo del documento: Article País de afiliación: China

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