A conditional linear Gaussian network to assess the impact of several agronomic settings on the quality of Tuscan Sangiovese grapes
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
Department of Statistics, Computer Science, Applications – University of Florence,, Florence, Italy
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
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© 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.