Rapid and Non-Destructive Estimation of Moisture Content in Caragana Korshinskii Pellet Feed Using Hyperspectral Imaging.

Yu, Zhihong; Chen, Xiaochao; Zhang, Jianchao; Su, Qiang; Wang, Ke; Liu, Wenhang

Yu, Zhihong; Chen, Xiaochao; Zhang, Jianchao; Su, Qiang; Wang, Ke; Liu, Wenhang.

Afiliação

Yu Z; College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China.
Chen X; College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China.
Zhang J; College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China.
Su Q; College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China.
Wang K; College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China.
Liu W; College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China.

Sensors (Basel) ; 23(17)2023 Sep 01.

Article em En | MEDLINE | ID: mdl-37688047

Assuntos

Caragana; Imageamento Hiperespectral; China; Método de Monte Carlo; Estado Nutricional

Palavras-chave

Caragana korshinskii pellet feed; hyperspectral; moisture content; rapid and non-destructive estimation

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Caragana / Imageamento Hiperespectral Tipo de estudo: Health_economic_evaluation / Prognostic_studies País como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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