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Hyperspectral imaging for predicting soluble solid content of starfruit

Hyperspectral imaging technology is a powerful tool for non-destructive quality assessment of fruits. The objective of this research was to develop novel calibration model based on hyperspectral imaging to estimate soluble solid content (SSC) of starfruits. A hyperspectral imaging system, which cons...

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書誌詳細
主要な著者:	Candra, Feri, Syed Abu Bakar, Syed Abd. Rahman
フォーマット:	論文
言語:	English
出版事項:	Penerbit UTM Press 2015
主題:	TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:	http://eprints.utm.my/id/eprint/55637/1/SyedAbdRahman2015_HyperspectralImagingforPredictingSoluble.pdf http://eprints.utm.my/id/eprint/55637/ http://dx.doi.org/10.11113/jt.v73.3480
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