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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Bibliographic Details
Main Authors: Candra, Feri, Syed Abu Bakar, Syed Abd. Rahman
Format: Article
Language:English
Published: Penerbit UTM Press 2015
Subjects:
Online Access: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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Institution: Universiti Teknologi Malaysia
Language: English