2009
DOI: 10.5424/sjar/2009074-1092
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Review. Precision viticulture. Research topics, challenges and opportunities in site-specific vineyard management

Abstract: Precision Viticulture (PV) is a concept that is beginning to have an impact on the wine-growing sector. Its practical implementation is dependant on various technological developments: crop sensors and yield monitors, local and remote sensors, Global Positioning Systems (GPS), VRA (Variable-Rate Application) equipment and machinery, Geographic Information Systems (GIS) and systems for data analysis and interpretation. This paper reviews a number of research lines related to PV. These areas of research have foc… Show more

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Cited by 145 publications
(80 citation statements)
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“…In these systems, despite the high spatial resolution of the sensors currently employed, the outcoming information, such as the vigour zoning, only accounts for averaged data neglecting the contribution of single vine (Arnó, Martínez Casasnovas, Ribes Dasi, & Rosell, 2009). While row detection techniques saw a great development in these last few years (Comba, Gay, Primicerio, & Aimonino, 2015;Delenne, Durrieu, Rabatel, & Deshayes, 2010;Puletti, Perria, & Storchi, 2014;Smit, Sithole, & Strever, 2010), a methodology for single plant detection is still not available.…”
Section: Introductionmentioning
confidence: 99%
“…In these systems, despite the high spatial resolution of the sensors currently employed, the outcoming information, such as the vigour zoning, only accounts for averaged data neglecting the contribution of single vine (Arnó, Martínez Casasnovas, Ribes Dasi, & Rosell, 2009). While row detection techniques saw a great development in these last few years (Comba, Gay, Primicerio, & Aimonino, 2015;Delenne, Durrieu, Rabatel, & Deshayes, 2010;Puletti, Perria, & Storchi, 2014;Smit, Sithole, & Strever, 2010), a methodology for single plant detection is still not available.…”
Section: Introductionmentioning
confidence: 99%
“…Since the earliest studies in the 1990s, there have been significant improvements in both the spatial resolution of remotely obtained information, currently of the order of centimetres (Hall et al, 2010) and in the mathematical analyses performed with the information acquired (Pedroso et al, 2010, Paoli et al, 2007. To date, precision agriculture tools and methods have been mainly applied at the field level, and much research has highlighted the ability of high resolution data to match within field variability at this scale (Acevedo-Opazo et al, 2008a, Acevedo-Opazo et al, 2008b, and the potential benefits of its management according to the obtained zoning , Taylor, 2004, Arnó et al, 2009. The field level corresponds to a production unit that has the same age, variety and rootstock, and is usually managed uniformly in terms of fertilization, pruning, irrigation, etc.…”
Section: Introductionmentioning
confidence: 99%
“…High spatial and temporal resolution datasets of environmental indicators are crucial requirements for detailed analyses in various fields of research [1][2][3][4][5][6]. Important environmental indicators are derived from temperature time series [7], since temperature is a main driver for most ecological and environmental processes [8].…”
Section: Introductionmentioning
confidence: 99%