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Using artificial intelligence to design and implement a morphological assessment system in beef cattle

dc.contributor.authorGoyache, Félix
dc.contributor.authorCoz Velasco, Juan José del 
dc.contributor.authorQuevedo Pérez, José Ramón 
dc.contributor.authorLópez, S.
dc.contributor.authorAlonso González, Jaime 
dc.contributor.authorRanilla Pastor, José 
dc.contributor.authorLuaces Rodríguez, Óscar 
dc.contributor.authorÁlvarez Fernández, Isabel
dc.contributor.authorBahamonde Rionda, Antonio 
dc.date.accessioned2015-04-14T11:33:05Z
dc.date.available2015-04-14T11:33:05Z
dc.date.issued2001
dc.identifier.citationAnimal Science, 73, p. 49-60 (2001)
dc.identifier.issn1357-7298
dc.identifier.issn1748-748X
dc.identifier.urihttp://hdl.handle.net/10651/30624
dc.description.abstractIn this paper a methodology is developed to improve the design and implementation of a linear morphological system in beef cattle using artificial intelligence. The proposed process involves an iterative mechanism where type traits are successively defined and computationally represented using knowledge engineering methodologies, scored by a set of trained human experts and finally, analysed by means of four reputed machine learning algorithms. The results thus achieved serve as feed back to the next iteration in order to improve the accuracy and efficacy of the proposed assessment system. A sample of 260 conformation records of the Asturiana de los Valles beef cattle breed is shown to illustrate the methodology. Three sources of inconsistency were detected: (a) the existence of different interpretations of the trait’s definition, increasing the subjectivity of the assessment; (b) the narrow range of variation of some of the anatomical traits assessed; (c) the inclusion of some complex traits in the assessment system. In this sense, the reopening of the evaluated Asturiana de los Valles assessment system is recommended. In spite of the difficulty of collecting data from live animals, further implications of the artificial intelligence systems on morphological assessment are pointed outspa
dc.format.extentp. 49-60spa
dc.language.isoengspa
dc.publisherCambridge University Press
dc.relation.ispartofAnimal Science, 73spa
dc.rights© 2001 British Society of Animal Science
dc.rights© Cambridge University Press
dc.subjectArtificial intelligencespa
dc.subjectBeef cattlespa
dc.titleUsing artificial intelligence to design and implement a morphological assessment system in beef cattlespa
dc.typeinfo:eu-repo/semantics/article
dc.type.dcmitextspa


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