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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: S. Hernández,  L. Morales and  A. Urrutia  
Open Access
|Mar 2017

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: Professor Subhas Chandra Mukhopadhyay
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 Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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