GIS, mechanistic modelling and ontology: a performing mix for precision and sustainable viticulture
Abstract
Precision viticulture has been developing very rapidly in the last two decades. Operational systems commonly use GIS, spatial interpolation, modelling, real time geolocalization, remote sensing and more recently, drone technology. Whereas precision viticulture is all about high space and time resolution of either measurements, analysis, diagnostics or decision support, few operational systems are built in an integrative way, combining many techniques and data sources. Within the European VINTAGE project, hourly time step climate data measurements, topography-based spatial interpolation, mechanistic soil, plant and disease models, remote sensing information and a decision support system are integrated within a GIS server to provide an operational tool for sustainable vineyard management for the grapegrower. The current study presents the overall system framework and first examples of model validation
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