The article introduces a new method to estimate semi-variogram parameters in Kriging, a technique used in spatial data analysis. By assuming a specific distribution of errors, the researchers developed a Maximum Likelihood estimator that outperforms existing algorithms. This new approach helps to better understand and reduce uncertainties in estimating variables like yearly precipitation. An example application in Italy demonstrates the effectiveness of the proposed method.