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Near-infrared hyperspectral imaging for online measurement of the viability detection of naturally aged watermelon seeds.
Yasmin, Jannat; Ahmed, Mohammed Raju; Wakholi, Collins; Lohumi, Santosh; Mukasa, Perez; Kim, Geonwoo; Kim, Juntae; Lee, Hoonsoo; Cho, Byoung-Kwan.
Afiliação
  • Yasmin J; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon, South Korea.
  • Ahmed MR; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon, South Korea.
  • Wakholi C; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon, South Korea.
  • Lohumi S; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon, South Korea.
  • Mukasa P; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon, South Korea.
  • Kim G; Department of Bio-Industrial Machinery Engineering, College of Agriculture and Life Science, Gyeongsang National University, Jinju-si, Gyeongsangnam-do, South Korea.
  • Kim J; Institute of Smart Farm, Gyeongsang National University, Jinju-si, Gyeongsangnam-do, South Korea.
  • Lee H; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, Daejeon, South Korea.
  • Cho BK; Department of Biosystems Engineering, College of Agriculture, Life & Environment Science, Chungbuk National University, Cheongju, Chungbuk, South Korea.
Front Plant Sci ; 13: 986754, 2022.
Article em En | MEDLINE | ID: mdl-36420027
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Plant Sci Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Plant Sci Ano de publicação: 2022 Tipo de documento: Article