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Rapid Measurement of Soybean Seed Viability Using Kernel-Based Multispectral Image Analysis.
Baek, Insuck; Kusumaningrum, Dewi; Kandpal, Lalit Mohan; Lohumi, Santosh; Mo, Changyeun; Kim, Moon S; Cho, Byoung-Kwan.
Afiliación
  • Baek I; Department of Mechanical Engineering, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA. insuck.baek@gmail.com.
  • Kusumaningrum D; USDA-ARS Environmental Microbial and Food Safety Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Beltsville, MD 20705, USA. insuck.baek@gmail.com.
  • Kandpal LM; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea. dewi.kusumaningrumm@gmail.com.
  • Lohumi S; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea. lalitm85@gmail.com.
  • Mo C; Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea. santosh.sanny123@gmail.com.
  • Kim MS; National Institute of Agricultural Sciences, Rural Development Administration, 310 Nonsaengmyeong-ro, Wansan-gu, Jeonju-si, Jeollabuk-do 54875, Korea. cymo76@gmail.com.
  • Cho BK; USDA-ARS Environmental Microbial and Food Safety Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Beltsville, MD 20705, USA. Moon.Kim@ars.usda.gov.
Sensors (Basel) ; 19(2)2019 Jan 11.
Article en En | MEDLINE | ID: mdl-30641923
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza