SELECTIVE HARVEST OF GRAPES BASED ON NDVI DATA OBTAINED FROM A MERLOT (Vitis vinifera L.) VINEYARD IN THE SERRA GAUCHA REGION
Precision Viticulture, NDVI, Spacial Variability, Remote Sensing.
Rio Grande do Sul state plays an important role in grape production in Brazil, with Serra Gaúcha being the most traditional region for grape production. This terroir is widely recognized for its production of high-quality sparkling wines and wines worldwide. However, the high spatial variability of vineyards, influenced by factors such as topography, soil characteristics and management practices, represent a significant challenge. Therefore, this proposes to identify a portion of the merlot variety (Vitis vinifera L.) and create homogeneous management zones using the Normalized Difference Vegetation Index (NDVI) to understand the high spatial variability that exists and maximize the quality and productivity potential of grapes in the region. It highlights the importance of using precise monitoring technologies to mitigate risks and optimize production. The analysis of data obtained through NDVI allows the identification of areas with different productive potential, enabling more efficient and sustainable management. The adoption of these technologies can result in significant economic benefits and contribute to the quality of wines produced in the region.