Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging
Research output: Contribution to journal › Journal article › Research › peer-review
| Original language | English |
|---|---|
| Journal | Journal of Food Engineering |
| Volume | 214 |
| Pages (from-to) | 29-39 |
| Number of pages | 11 |
| ISSN | 0260-8774 |
| DOIs | |
| Publication status | Published - 2017 |
- Stone fruit, Internal quality, Ripeness, Monitoring, Hyperspectral image, Computer vision
Research areas
ID: 184319956