Electronic nose coupled with linear and nonlinear supervised learning methods for rapid discriminating quality grades of superior java cocoa beans
An electronic nose (E-nose), comprising eight metal oxide semiconductor (MOS) gas sensors and a moisture-temperature sensor, was used for classifying three quality grades of superior java cocoa beans, namely fine cocoa dark bean < 20%, fine cocoa dark bean > 60%, and bulk cocoa bean that is a...
| Main Author: | |
|---|---|
| Other Authors: | , , , , |
| Format: | article |
| Language: | eng |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1822/65544 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/65544 |