Hyperspectral imaging for predicting soluble solid content of starfruit

• Main Authors: Candra, Feri, Syed Abu Bakar, Syed Abd. Rahman
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2015
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• 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

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...