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Advances in Operations Research
Volume 2014, Article ID 397675, 9 pages
http://dx.doi.org/10.1155/2014/397675
Research Article

Disaggregation of Statistical Livestock Data Using the Entropy Approach

1Faculdade de Ciências e Tecnologias, Universidade do Algarve, Edifício 8, 8005-139 Faro, Portugal
2Universidade de Évora (UE), Centro de Estudos e Formação Avançada em Gestão e Economia Tecnologias, 7000-809 Évora, Portugal
3Department of Management, Universidade de Évora, 7000-809 Évora, Portugal
4Instituto de Ciências Agrárias e Ambientais Mediterrâneas, Universidade de Évora, 7000-809 Évora, Portugal

Received 30 January 2014; Accepted 2 May 2014; Published 3 June 2014

Academic Editor: Konstantina Skouri

Copyright © 2014 António Xavier et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A process of agricultural data disaggregation is developed to address the lack of updated disaggregated data concerning main livestock categories at subregional and county level in the Alentejo Region, southern Portugal. The model developed considers that the number of livestock units is a function of the agricultural and forest occupation, and data concerning the existing agricultural and 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 a crossentropy minimization model, which comprises two stages. The model was applied to the county of Castelo de Vide and their results were validated in cross reference to real data from different sources.