Hyperspectral imaging and improved feature variable selection for automated determination of deoxynivalenol in various genetic lines of barley kernels for resistance screening.

Su, Wen-Hao; Yang, Ce; Dong, Yanhong; Johnson, Ryan; Page, Rae; Szinyei, Tamas; Hirsch, Cory D; Steffenson, Brian J

Su, Wen-Hao; Yang, Ce; Dong, Yanhong; Johnson, Ryan; Page, Rae; Szinyei, Tamas; Hirsch, Cory D; Steffenson, Brian J.

Afiliación

Su WH; Department of Agricultural Engineering, College of Engineering, China Agricultural University, 17 Qinghua East Road, Haidian, Beijing 100083, China. Electronic address: wenhao.su@hotmail.com.
Yang C; Department of Bioproducts and Biosystems Engineering, University of Minnesota, Saint Paul, MN 55108, USA. Electronic address: ceyang@umn.edu.
Dong Y; Department of Plant Pathology, University of Minnesota, Saint Paul, MN 55108, USA.
Johnson R; Department of Plant Pathology, University of Minnesota, Saint Paul, MN 55108, USA.
Page R; Department of Plant Pathology, University of Minnesota, Saint Paul, MN 55108, USA.
Szinyei T; Department of Plant Pathology, University of Minnesota, Saint Paul, MN 55108, USA.
Hirsch CD; Department of Plant Pathology, University of Minnesota, Saint Paul, MN 55108, USA.
Steffenson BJ; Department of Plant Pathology, University of Minnesota, Saint Paul, MN 55108, USA.

Food Chem ; 343: 128507, 2021 May 01.

Article en En | MEDLINE | ID: mdl-33160773

Asunto(s)

Hordeum/genética; Imágenes Hiperespectrales; Tricotecenos/análisis; Automatización; Hordeum/química; Micotoxinas/análisis

Palabras clave

Cereals; Deoxynivalenol; Feature variable selection; Hyperspectral imaging; Machine learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tricotecenos / Hordeum / Imágenes Hiperespectrales Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Food Chem Año: 2021 Tipo del documento: Article

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