Honeybush tea quality: Effect of water source and evaluation of NIR hyperspectral imaging as a tool to predict quality
dc.contributor.advisor | Moelich, Erika Ilette | en_ZA |
dc.contributor.advisor | Joubert, Elizabeth | en_ZA |
dc.contributor.advisor | De Beer, Dalene | en_ZA |
dc.contributor.author | Van Schoor, Helèné Mijas | en_ZA |
dc.date.accessioned | 2022-03-01T07:29:32Z | |
dc.date.accessioned | 2022-04-29T12:52:28Z | |
dc.date.available | 2023-03-18T03:00:13Z | |
dc.date.issued | 2022-03-01 | |
dc.description | Food Science | en_ZA |
dc.embargo.terms | 2023-03-01 | |
dc.identifier.uri | http://hdl.handle.net/10019.1/125065 | |
dc.language.iso | en_ZA | en_ZA |
dc.subject | Honeybush | en_ZA |
dc.subject | NIR hyperspectral imaging | en_ZA |
dc.subject | Quality | en_ZA |
dc.subject | Water source | en_ZA |
dc.title | Honeybush tea quality: Effect of water source and evaluation of NIR hyperspectral imaging as a tool to predict quality | en_ZA |
dc.type | Masters | en_ZA |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- vanschoor_honeybush_2022.pdf
- Size:
- 11.83 MB
- Format:
- Adobe Portable Document Format
- Description: