UNSUPERVISED LEARNING FOR RIPENESS ESTIMATION FROM GRAPE SEEDS IMAGES

Data publikacji: 01 mar 2017

Zakres stron: 1 - 19

Otrzymano: 29 maj 2017

Przyjęty: 25 lip 2017

DOI: https://doi.org/10.21307/ijssis-2017-225

Słowa kluczowe

Mixture model, grape ripening, computer vision

© 2017 S. Hernández et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.