Research_e/SugarContentPrediction の履歴(No.3)

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  • 1 (2016-06-19 (日) 06:35:23)
  • 2 (2016-06-19 (日) 09:02:23)
  • 3 (2017-08-18 (金) 05:47:28)

Abstract†

• Sugar content is related with near-infrared wavelength, it can be estimated from multispectral image. In this study, we estimate sugar content of fruits from images captured by hyperspectral camera. Non-destructive and non-contact inspection of fruits has a potential to provide much increased in productivity, safety and quality stability.
  • Collaborators: Tohoku university (Japan), Faculty of agriculture in Utsunomiya university (Japan)

Sugar content prediction of apple†

• In this study, we predicted the sugar content map of apples by using a hyperspectral camera without damaging the apple surface.
  • Shiori Obana, Kazuma Shinoda, Madoka Hasegawa, Hirotsugu Yamamoto and Masaru Kashiwazaki, "Non-destructive measurement of sugar content in apples using hyperspectral camera," ITE annual convention, Sept. 2016.