DOI QR코드

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Determination of Germination Quality of Cucumber (Cucumis Sativus) Seed by LED-Induced Hyperspectral Reflectance Imaging

  • Mo, Changyeun (National Academy of Agricultural Science, Rural Development Administration) ;
  • Lim, Jongguk (National Academy of Agricultural Science, Rural Development Administration) ;
  • Lee, Kangjin (National Academy of Agricultural Science, Rural Development Administration) ;
  • Kang, Sukwon (National Academy of Agricultural Science, Rural Development Administration) ;
  • Kim, Moon S. (Environmental Microbiology and Food Safety Laboratory, Agricultural Research Service, US Department of Agriculture) ;
  • Kim, Giyoung (National Academy of Agricultural Science, Rural Development Administration) ;
  • Cho, Byoung-Kwan (Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University)
  • 투고 : 2013.11.08
  • 심사 : 2013.11.26
  • 발행 : 2013.12.01

초록

Purpose: We developed a viability evaluation method for cucumber (Cucumis sativus) seed using hyperspectral reflectance imaging. Methods: Reflectance spectra of cucumber seeds in the 400 to 1000 nm range were collected from hyperspectral reflectance images obtained using blue, green, and red LED illumination. A partial least squares-discriminant analysis (PLS-DA) was developed to predict viable and non-viable seeds. Various ranges of spectra induced by four types of LEDs (Blue, Green, Red, and RGB) were investigated to develop the classification models. Results: PLS-DA models for spectra in the 600 to 700 nm range showed 98.5% discrimination accuracy for both viable and non-viable seeds. Using images based on the PLS-DA model, the discrimination accuracy for viable and non-viable seeds was 100% and 99%, respectively Conclusions: Hyperspectral reflectance images made using LED light can be used to select high quality cucumber seeds.

키워드

참고문헌

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