In the same vineyard, the yield and quality of the grapes can vary widely. In fact, this variability in production on the land is one of the greatest challenges growers face, especially with very large vineyards. We can trace the reasons for this to the morphology of the terrain, the type of soil, the treatments and fertilizers that are used, and the microclimate - all factors that can differ even along the same row of grapes.
Up until just a few years ago, the only way to pinpoint these variations was through targeted soil sampling, a method with serious limitations as far as data granularity is concerned. But today precision viticulture allows growers to profile specific qualities and needs of the vines, with an accuracy at the level of individual plants, customizing the best possible production techniques for each one. This approach offers guaranteed returns not only with regard to quality and efficiency, but environmental impact as well.
Clearing the way to precision farming is a combination of remote sensing technologies and digitalization that are being applied to geographical science. Specifically, it’s about earth resources observation, in other words, earth imaging using satellites or drones. Here’s how it works: special video cameras equipped with hyperspectral sensors pick up the intensity of the solar light that’s reflected by the underlying vegetation. This reflectance is highly sensitive to the chlorophyll content of plants, so it serves as an indicator of plant health and vigor.
Based on these images, and with the help of expert agronomists, growers can come up with detailed farming strategies. And thanks to cutting edge geolocalization techniques, the data collected on each section of the vineyard is sent directly to farm machinery in the field, which is what makes precision viticulture possible. For every single section of land, down to the linear meter, the most effective techniques can be applied depending on the health status of each individual plant. (Some examples are green manure, leaf removal or customized fertilization.)
Figure 1 - Precision viticulture: from image to management