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Paolo Storchi
Researcher at Canadian Real Estate Association
Publications - 68
Citations - 1321
Paolo Storchi is an academic researcher from Canadian Real Estate Association. The author has contributed to research in topics: Vineyard & Precision viticulture. The author has an hindex of 17, co-authored 62 publications receiving 1056 citations. Previous affiliations of Paolo Storchi include Consiglio per la ricerca e la sperimentazione in agricoltura.
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Journal ArticleDOI
Catechin, epicatechin, quercetin, rutin and resveratrol in red grape: Content, in vitro antioxidant activity and interactions
TL;DR: In this article, the authors evaluated the antioxidant activity of 10 native Tuscan and international Vitis vinifera varieties extracted from the skin and seeds of 10 varieties of the plant.
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Classification of varieties for their timing of flowering and veraison using a modelling approach: A case study for the grapevine species Vitis vinifera L.
Amber Parker,Iñaki García de Cortázar-Atauri,Isabelle Chuine,Gérard Barbeau,Benjamin Bois,Jean-Michel Boursiquot,Jean-Michel Boursiquot,Jean-Yves Cahurel,Marion Claverie,Thierry Dufourcq,Laurence Gény,Guy Guimberteau,Rainer W. Hofmann,Olivier Jacquet,Thierry Lacombe,Christine Monamy,Hernán Ojeda,Laurent Panigai,Jean-Christophe Payan,Begoña Rodriquez Lovelle,Emmanuel Rouchaud,Christophe Schneider,Jean-Laurent Spring,Paolo Storchi,Diego Tomasi,William Trambouze,Michael C. T. Trought,Cornelis van Leeuwen +27 more
TL;DR: This paper outlines a methodology, based on a phenological model, for classifying the timing of flowering and veraison for a substantial number of varieties of the grapevine (Vitis vinifera L.).
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Analysis of the relationships between climate variability and grapevine phenology in the Nobile di Montepulciano wine production area
TL;DR: In this paper, the effects of meteorological parameters on crop phenology (bud-break, flowering and harvest time) were investigated by regression analysis, while teleconnections between phenological data and large-scale meteo-climatological data were analyzed through correlation maps created using the interactive plotting and analysis link from the NOAA-CIRES website (http://www.cdc.noaa.gov).
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Temperature-based grapevine sugar ripeness modelling for a wide range of Vitis vinifera L. cultivars
Amber Parker,Iñaki García de Cortázar-Atauri,Laurence Gény,Jean-Laurent Spring,Agnès Destrac,Hans R. Schultz,Daniel Molitor,Thierry Lacombe,António Graça,Christine Monamy,Manfred Stoll,Paolo Storchi,Mike C. T. Trought,Mike C. T. Trought,Rainer W. Hofmann,Cornelis van Leeuwen +15 more
TL;DR: In this article, a temperature-based model was used to predict the time to target sugar concentrations from 170 to 220 grams/L for Vitis vinifera L. The best model across all target sugar concentration was the non-linear best Sigmoid model "best SIG" model (parameters: start date (tb) = 0.1294, d =−0.1295, e ǫ = 14.87).
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Unsupervised classification of very high remotely sensed images for grapevine rows detection
TL;DR: In this paper, an unsupervised classification method for the identification of grapevine rows is presented, where the image is first masked preserving only the considered vineyard and then pre-processed with a high pass filter.