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A conditional linear Gaussian network to assess the impact of several agronomic settings on the quality of Tuscan Sangiovese grapes Cover

A conditional linear Gaussian network to assess the impact of several agronomic settings on the quality of Tuscan Sangiovese grapes

Biometrical Letters
Volume 54 (2017): Issue 1 (June 2017)
By: Alessandro Magrini,  Stefano Di Blasi and  Federico Mattia Stefanini  
Open Access
|Jun 2017

Authors

Alessandro Magrini

Department of Statistics, Computer Science, Applications – University of Florence,, Florence, Italy

Stefano Di Blasi

R&D wine and sensory consultant – Marchesi Antinori,, Florence, Italy

Federico Mattia Stefanini

stefanini@disia.unifi.it

Department of Statistics, Computer Science, Applications – University of Florence,, Florence, Italy
DOI: https://doi.org/10.1515/bile-2017-0002 | Journal eISSN: 2199-577X | Journal ISSN: 1896-3811
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Language: English
Page range: 25 - 42
Published on: Jun 13, 2017
Published by: Polish Biometric Society
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Canopy management,
Conditional independence,
Directed acyclic graphs,
Late grape harvest,
Polyphenolic content,
Potential alcohol
Related subjects:
Life sciences,
Bioinformatics,
Life sciences, other,
Mathematics,
Probability and statistics,
Applied mathematics

© 2017 Alessandro Magrini, Stefano Di Blasi, Federico Mattia Stefanini, published by Polish Biometric Society
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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