Disaggregation of Statistical Livestock Data Using the Entropy Approach

A process of agricultural data disaggregation is developed to address the lack of updated disaggregated data concerning mainlivestock categories at subregional and county level in the Alentejo Region, southern Portugal.Themodel developed considers thatthe number of livestock units is a function of the agricultural and forest occupation, and data concerning the existing agriculturaland forest occupation, as well as the conversion of livestock numbers into normal heads, are needed in order to find this relation.The weight of each livestock class is estimated using a dynamic process based on a generalized maximum entropy model and on acrossentropy minimization model, which comprises two stages. The model was applied to the county of Castelo de Vide and theirresults were validated in cross reference to real data from different sources