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Vis/NIR hyperspectral imaging distinguishes sub-population, production environment, and physicochemical grain properties in rice.
Barnaby, Jinyoung Y; Huggins, Trevis D; Lee, Hoonsoo; McClung, Anna M; Pinson, Shannon R M; Oh, Mirae; Bauchan, Gary R; Tarpley, Lee; Lee, Kangjin; Kim, Moon S; Edwards, Jeremy D.
Afiliação
  • Barnaby JY; Dale Bumpers National Rice Research Center, United States Department of Agriculture - Agricultural Research Service, Stuttgart, AR, 72160, USA.
  • Huggins TD; Dale Bumpers National Rice Research Center, United States Department of Agriculture - Agricultural Research Service, Stuttgart, AR, 72160, USA.
  • Lee H; Environmental Microbial and Food Safety Laboratory, United States Department of Agriculture - Agricultural Research Service, Beltsville, MD, 20705, USA.
  • McClung AM; Department of Biosystems Engineering, Chungbuk National University, Cheongju, 28644, Republic of Korea.
  • Pinson SRM; Dale Bumpers National Rice Research Center, United States Department of Agriculture - Agricultural Research Service, Stuttgart, AR, 72160, USA.
  • Oh M; Dale Bumpers National Rice Research Center, United States Department of Agriculture - Agricultural Research Service, Stuttgart, AR, 72160, USA.
  • Bauchan GR; Environmental Microbial and Food Safety Laboratory, United States Department of Agriculture - Agricultural Research Service, Beltsville, MD, 20705, USA.
  • Tarpley L; Grassland and Forages Division, National Institute of Animal Science, Rural Development Administration, Cheonan, 31000, Republic of Korea.
  • Lee K; Electron & Confocal Microscopy Unit, United States Department of Agriculture - Agricultural Research Service, Beltsville, MD, 20705, USA.
  • Kim MS; Texas A&M AgriLife Research Center, Texas A&M University System, Beaumont, TX, 77713, USA.
  • Edwards JD; National Institute of Horticultural and Herbal Sciences, Rural Development Administration, Haman, 52054, Republic of Korea.
Sci Rep ; 10(1): 9284, 2020 06 09.
Article em En | MEDLINE | ID: mdl-32518379
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oryza / Grãos Integrais / Imageamento Hiperespectral Idioma: En Revista: Sci Rep Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oryza / Grãos Integrais / Imageamento Hiperespectral Idioma: En Revista: Sci Rep Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos