CENTER:&color(navy){&size(24){''Multispectral imaging for sugar content prediction''};};
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**Abstract [#a604c4f9]
-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)
#ref(Apple.png,nolink)
**Sugar content prediction of apple [#c993b292]
-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.
#ref(AppleSugar.png,nolink,70%)
#ref(AppleSugar2.png,nolink,40%)
