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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Main Authors: | Candra, Feri, Syed Abu Bakar, Syed Abd. Rahman |
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格式: | Article |
語言: | English |
出版: |
Penerbit UTM Press
2015
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在線閱讀: | 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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