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 |
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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