Modeling of Polyphenols and Color Index of Grape by Satellite Images, Colchagua Valley, VI Region, Chile
The study looks forward to define a methodology that can improve the quality of the wine produced, through selective crop management, for which a multiple regression analysis was used between satellite images Sentinel 2 and polyphenols and color index. The estimated polyphenols, presents the best re...
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doaj-974fbb1fadfd4c5eb34266f0cdc913552020-11-24T20:53:17ZengMDPI AGProceedings2504-39002019-07-011912110.3390/proceedings2019019021proceedings2019019021Modeling of Polyphenols and Color Index of Grape by Satellite Images, Colchagua Valley, VI Region, ChileSandra Fredes0Luis Ángel Ruiz1Jorge Abel Recio2Geo-Environmental Cartography and Remote Sensing Group (CGAT), Universitat Politècnica de València, Camí de Vera s/n, 46022 València, SpainGeo-Environmental Cartography and Remote Sensing Group (CGAT), Universitat Politècnica de València, Camí de Vera s/n, 46022 València, SpainGeo-Environmental Cartography and Remote Sensing Group (CGAT), Universitat Politècnica de València, Camí de Vera s/n, 46022 València, SpainThe study looks forward to define a methodology that can improve the quality of the wine produced, through selective crop management, for which a multiple regression analysis was used between satellite images Sentinel 2 and polyphenols and color index. The estimated polyphenols, presents the best results in the variables color index and tannins, with an R<sup>2</sup> of 0.78 and 0.65 respectively. The preliminary methodology allows the identification of homogeneous zones in polyphenols and final color estimation, transforming it into a potential tool for harvesting.https://www.mdpi.com/2504-3900/19/1/21differentiated harvestpolyphenols and colour indexsatellite images |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sandra Fredes Luis Ángel Ruiz Jorge Abel Recio |
spellingShingle |
Sandra Fredes Luis Ángel Ruiz Jorge Abel Recio Modeling of Polyphenols and Color Index of Grape by Satellite Images, Colchagua Valley, VI Region, Chile Proceedings differentiated harvest polyphenols and colour index satellite images |
author_facet |
Sandra Fredes Luis Ángel Ruiz Jorge Abel Recio |
author_sort |
Sandra Fredes |
title |
Modeling of Polyphenols and Color Index of Grape by Satellite Images, Colchagua Valley, VI Region, Chile |
title_short |
Modeling of Polyphenols and Color Index of Grape by Satellite Images, Colchagua Valley, VI Region, Chile |
title_full |
Modeling of Polyphenols and Color Index of Grape by Satellite Images, Colchagua Valley, VI Region, Chile |
title_fullStr |
Modeling of Polyphenols and Color Index of Grape by Satellite Images, Colchagua Valley, VI Region, Chile |
title_full_unstemmed |
Modeling of Polyphenols and Color Index of Grape by Satellite Images, Colchagua Valley, VI Region, Chile |
title_sort |
modeling of polyphenols and color index of grape by satellite images, colchagua valley, vi region, chile |
publisher |
MDPI AG |
series |
Proceedings |
issn |
2504-3900 |
publishDate |
2019-07-01 |
description |
The study looks forward to define a methodology that can improve the quality of the wine produced, through selective crop management, for which a multiple regression analysis was used between satellite images Sentinel 2 and polyphenols and color index. The estimated polyphenols, presents the best results in the variables color index and tannins, with an R<sup>2</sup> of 0.78 and 0.65 respectively. The preliminary methodology allows the identification of homogeneous zones in polyphenols and final color estimation, transforming it into a potential tool for harvesting. |
topic |
differentiated harvest polyphenols and colour index satellite images |
url |
https://www.mdpi.com/2504-3900/19/1/21 |
work_keys_str_mv |
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1716797585702780928 |