In the current French viticultural context, managing the impact of diseases and bio-aggressors, such as grape mildew (Plasmopara viticola) and powdery mildew (Erysiphe necator), is a major challenge. Controlling these epidemics often involves the use of numerous phytosanitary treatments, which can have adverse effects on the environment and human health. To reduce the use of phytosanitary products while improving economic and environmental performance in viticulture, it is essential to consider the structural and morphological characteristics of the vegetation and the performance of the spraying equipment used for applying treatments. Advancements in spraying technology and the proliferation of agricultural sensors have paved the way for innovative digital solutions in precision viticulture. The PulvéLab project, initiated in 2018 by IFV and IRSTEA, aims to accelerate precision viticulture innovation by providing a vineyard site for partners, including innovative private companies, to test, evaluate, and demonstrate the performance of their innovative solutions under operational conditions. This study focuses on the use of indices to estimate tree row volume (TRV) to assess the feasibility of implementing a dose recommendation model, specifically the Optidose® model. Indices provided by VineView, such as Canopy Area (CA) and Enhanced Vegetation Index (EVI), serve as examples. Objectives include creating a dose recommendation map at the vineyard scale based on vegetation index mapping and calculating potential pesticide savings considering different spatial decision scales, from uniform dosing at the vineyard level to local adjustments within the parcel, assuming the availability of automated real-time adaptation.