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

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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:

Bioinformatics,

Life sciences, other,

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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