The applications of Precision Oliviculture (PO) increased in recent years to improve the quality and quantity of extra virgin olive oil. In intensive cultivation systems, several cultural practices such as fertilisation enable the plants’ vigour to be balanced and maintained, reducing the management costs. The aim of the study compared the fertilisation saving obtain among standard fertilization and two different prescription maps obtained from two methodologies, applicable through a geographic information system (GIS), in an olive orchard. The experiment was carried in an intensive olive orchard located in western Sicily (Italy). Multispectral images were acquired using a remote platform. Specifically, the Phantom4 (Unmanned Aerial Vehicle, UAV) was used in automatic flight configuration at an altitude of 70 m a.g.l.. QGIS ver 3.28 software was used to carry out segmentation and classification of the Digital Elevation Model (DEM) and the orthomosaic extracted from the photogrammetric process. The Object-Based Image Analysis (OBIA) process made it possible to extract canopy area (CA), and spectral condition such as NIR, Red and NDVI (Normalized different vegetation index) for each plant. First prescription map was developed to identify the areas requiring nitrogen fertilization using the information extracted from the multispectral images. The second prescription map, created within the previously identified area, performing a nitrogen nutritional balance per plant taking into account soil variability and vigor conditions. Study showed that the technology used and image analysis processing were able to estimate the vigor conditions and may represent a valuable solution to investigate spatial variability and sustainable management of cultivation practices, obtaining a fertilisations saving between the 24% to 33%.