This paper develops a model to estimate agricultural land use at a disaggregated level using aggregated data, aiming to solve the lack of data problems between the Agricultural Census studies in Portugal. The proposed model estimates incomplete information at disaggregated level through an entropy approach using an information prior at the aggregated level. The results showed that the model allows obtaining a good level of information heterogeneity of the recovered data.