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Combined disaggregation of agricultural land uses, livestock numbers and crops' production: an entropy approach

dc.contributor.authorXavier, António
dc.contributor.authorFreitas, Maria de Belém
dc.contributor.authorDe Sousa Fragoso, R. M.
dc.date.accessioned2015-11-27T15:14:35Z
dc.date.available2015-11-27T15:14:35Z
dc.date.issued2010
dc.description.abstractThis paper presents several combined agricultural data disaggregation models in order to recover the farms' land uses, the livestock numbers and main crops' productions. The proposed approach estimates incomplete information at disaggregated level through entropy, using an information prior, and generating information for a combined calculation use of data in the estimation of other variables. The models were applied to the region of Algarve, to some rural pilot areas (Salir-Ameixial-Cachopo and Alcoutim) for livestock data, since this data in some Algarve's inland areas is needed for a European forest fire prevention project, and to the agrarian zones in a more complex framework. The results are promising. They were validated, in cross reference to real data, having proven to be valid and reliable. The total error was small and a considerable level of information heterogeneity was recovered. The total error was about 27,9% for the counties' land uses and 21% for the agrarian zones, and for the livestock it was also acceptable. The level of heterogeneity recovered was always higher than 50%, revealing some improvements regarding previous studies.
dc.identifier.isbn9789604742431
dc.identifier.otherAUT: MBM01870;
dc.identifier.urihttp://hdl.handle.net/10400.1/7177
dc.language.isoeng
dc.relation.isbasedonP-007-YZ0
dc.titleCombined disaggregation of agricultural land uses, livestock numbers and crops' production: an entropy approach
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceFaro, Portugal
oaire.citation.endPage198
oaire.citation.startPage192
oaire.citation.title12th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering, MACMESE'10
person.familyNameXavier
person.givenNameAntónio
person.identifier.ciencia-idFD1C-2A06-E093
person.identifier.orcid0000-0002-8158-3732
person.identifier.ridV-7299-2017
person.identifier.scopus-author-id42162312900
rcaap.rightsopenAccess
rcaap.typeconferenceObject
relation.isAuthorOfPublicationb9dc159a-033a-44fc-83df-2d3e819a4a86
relation.isAuthorOfPublication.latestForDiscoveryb9dc159a-033a-44fc-83df-2d3e819a4a86

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