Modeling of Polyphenols and Color Index of Grape by Satellite Images, Colchagua Valley, VI Region, Chile

Abstract

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 R2 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.

Keywords

• differentiated harvest
• polyphenols and colour index
• satellite images