This thesis draws inspiration from the European Drought Risk Atlas to quantify the impacts of agricultural drought on maize production in Italy. The goal is to develop a preliminary predictive model that can be refined and expanded in future research. Historical climatic data, including temperature and precipitation, were sourced from the VHR-REA_IT dataset, while projections under the RCP 8.5 scenario (2030–2070) were obtained from the VHR-PRO_IT dataset. The provincial-level maize cultivation data, sourced from ISTAT, focused on Northern Italy, where sufficient agricultural records were available. A regression analysis was conducted to assess yield anomalies, with five regression models implemented, optimized, and evaluated using various metrics.