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UNSUPERVISED LEARNING FOR RIPENESS ESTIMATION FROM GRAPE SEEDS IMAGES Cover

UNSUPERVISED LEARNING FOR RIPENESS ESTIMATION FROM GRAPE SEEDS IMAGES

International Journal on Smart Sensing and Intelligent Systems
Volume 10 (2017): Issue 3 (January 2017)
By: ,   and    
Open Access
|Mar 2017
Authors

Authors

S. Hernández

shernandez@ucm.cl

Facultad de Ciencias de la Ingeniería, Universidad Católica del Maule, Talca, Chile

L. Morales

Facultad de Ciencias Agronómicas, Universidad de Chile, Talca, Chile

A. Urrutia

Facultad de Ciencias de la Ingeniería, Universidad Católica del Maule, Talca, Chile
DOI: https://doi.org/10.21307/ijssis-2017-225 | Journal eISSN: 1178-5608
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Language: English
Page range: 1 - 19
Submitted on: May 29, 2017
Accepted on: Jul 25, 2017
Published on: Mar 1, 2017
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Mixture model,
grape ripening,
computer vision
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2017 S. Hernández, L. Morales, A. Urrutia, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 10 (2017): Issue 3 (January 2017)
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