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Title: Aplications of Neural Networks to Find the Impact of Water in Different Berry Components in Grapes
Authors: Castellanos, Angel
Esteban, Marita
Martinez, Ana
Palencia, Valentin
Keywords: Clustering
Neural networks
Organic acids
Vitis vinifera
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: Grape juice composition during the different stages of berry growth was compared. The analytical data collected were used to investigate the relationships between some of the different components studied in these berries during the ripening period. Our goal is to study, with neural networks, the impact of water availability on Vitis vinifera L. cv. Tempranillo grape yields and juice composition over a three-year period.
ISSN: 1313-048X
Appears in Collections:Volume 2 Number 4

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