2021
DOI: 10.3390/horticulturae7080254
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Spatial Variability of Production and Quality in Table Grapes ‘Flame Seedless’ Growing on a Flat Terrain and Slope Site

Abstract: (1) Background: Precision agriculture has been used mostly to study spatial variability in vineyards for winemaking. Nevertheless, there is little available information on the impacts of its use on table grape vineyards under different slope conditions. (2) Methods: The aim was to study the spatial variability of production and berry quality in ‘Flame Seedless’ vines established on a flat (3% slope) and sloping (23% slope) terrain in the Chilean hyper-arid northern region. (3) Results: The results showed that … Show more

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Cited by 4 publications
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“…AI represents an excellent strategy that can be used to improve the current process of sustainable management of the wine sector, its use currently concerns the detection and classification of diseases that affect vines [35,45,46]. The benefits of precision viticulture are multiple and can be resumed in stress identification, monitoring, and reduction of vineyard spatial variability [47]. These procedures reduce the time and operational costs of vineyard management, optimising the use of water resources and the use of fertilisers and pesticides, and consequently reducing environmental impact by increasing yields.…”
Section: Introductionmentioning
confidence: 99%
“…AI represents an excellent strategy that can be used to improve the current process of sustainable management of the wine sector, its use currently concerns the detection and classification of diseases that affect vines [35,45,46]. The benefits of precision viticulture are multiple and can be resumed in stress identification, monitoring, and reduction of vineyard spatial variability [47]. These procedures reduce the time and operational costs of vineyard management, optimising the use of water resources and the use of fertilisers and pesticides, and consequently reducing environmental impact by increasing yields.…”
Section: Introductionmentioning
confidence: 99%