Non-destructive sugar content assessment of multiple cultivars of melons by dielectric properties.

Liu, Dayang; Wang, Enfeng; Wang, Guanglai; Wang, Pan; Wang, Congcong; Wang, Zhuanwei

Liu, Dayang; Wang, Enfeng; Wang, Guanglai; Wang, Pan; Wang, Congcong; Wang, Zhuanwei.

Afiliação

Liu D; College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China.
Wang E; College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China.
Wang G; College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China.
Wang P; College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China.
Wang C; College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China.
Wang Z; College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China.

J Sci Food Agric ; 101(10): 4308-4314, 2021 Aug 15.

Article em En | MEDLINE | ID: mdl-33417254

Assuntos

Cucurbitaceae/química; Análise de Alimentos/métodos; Análise Espectral/métodos; Açúcares/análise; Algoritmos; Cucurbitaceae/classificação; Análise de Alimentos/instrumentação; Frutas/química; Frutas/classificação; Aprendizado de Máquina; Controle de Qualidade; Análise Espectral/instrumentação

Palavras-chave

dielectric spectra; melons; multi-cultivar models; sugar content

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Espectral / Cucurbitaceae / Açúcares / Análise de Alimentos Tipo de estudo: Evaluation_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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