Expert wine growers already know that different grapes coming from different locations within the same vineyard can produce wines of different flavors and quality. Even when biological factors such rootstock and clones are the same, the grapes quality, its maturity stage and the wine that can be produced from them can be influenced by many factors, including farming practices and subtle differences in the geological origin of soil, draining capacity, slope, aspect.
By using remote sensing techniques, the wine growers can exactly determine where the canopy is too (or too little) expanded. In this way, remote sensing can be a valuable tool that allows the evaluation of the actual balance between vegetation and grapes production, so that the grape grower can precisely verify whether the foliage amount is able to support the existing grapes or not, and where the grapes may suffer because of the lack of one or more limiting factors (water, nutrients,…).
After flowering, the maps allow to identify different zones in term of vegetative expression and to consequently prescribe to them different farming practices (irrigation, pruning, fertilization, plant protection treatments,…). During the harvest, remote sensing allows the grape growers to plan the right harvest strategies, in order to collect the single grapes at the proper ripening stage, and to direct them to the right production lot in the winery: so it is possible to have different musts (having different flavours and organoleptic characteristics) even within the same vineyard. With a long-term perspective, remote sensing assists the winemaker in his day-by-day activity allowing him to achieve a constant improvement of grapes quality year after year.
The webinar shows in detail which are the key elements of a precision viticulture system: data, electronic and dedicated machinery able to perform VRT (Variable Rate Technology) activities in the field.
It will be shown how the data are collected (satellite, aircraft, drones) and processed, which are the theoretical bases behind the usage of remotely sensed data, how these data can be exploited for VRT applications, which are the hardware requirements in order to put in practice VRT strategies.
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