NIR hyperspectral imaging for predicting the composition of granular food commodities
Hyperspectral imaging (HSI) in the Near-Infrared (NIR) spectral range was applied for non- destructive characterisation of three staple food commodities: wheat, cocoa and coffee. Industrially-relevant properties such as moisture, fat and proteins were explored on a single seed basi...
| Main Author: | |
|---|---|
| Format: | Thesis (University of Nottingham only) |
| Language: | English |
| Published: |
2018
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/52169/ |