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dc.contributor.authorFenlon, Caroline*
dc.contributor.authorO'Grady, Luke*
dc.contributor.authorDunnion, John*
dc.contributor.authorShalloo, Laurence*
dc.contributor.authorButler, Stephen*
dc.contributor.authorDoherty, Michael L.*
dc.date.accessioned2016-11-24T17:29:05Z
dc.date.available2016-11-24T17:29:05Z
dc.date.issued2016-09
dc.identifier.citationCaroline Fenlon, Luke O'Grady, John Dunnion, Laurence Shalloo, Stephen Butler and Michael Doherty. A comparison of machine learning techniques for predicting insemination outcome in Irish dairy cows.Irish Conference on Artificial Intelligence and Cognitive Science, September 2016, University College Dublinen_GB
dc.identifier.urihttp://hdl.handle.net/11019/1090
dc.descriptionpeer-revieweden_GB
dc.description.abstractReproductive performance has an important effect on economic efficiency in dairy farms with short yearly periods of breeding. The individual factors affecting the outcome of an artificial insemination have been extensively researched in many univariate models. In this study, these factors are analysed in combination to create a comprehensive multivariate model of conception in Irish dairy cows. Logistic regression, Naive Bayes, Decision Tree learning and Random Forests are trained using 2,723 artificial insemination records from Irish research farms. An additional 4,205 breeding events from commercial dairy farms are used to evaluate and compare the performance of each data mining technique. The models are assessed in terms of both discrimination and calibration ability. The logistic regression model was found to be the most useful model for predicting insemination outcome. This model is proposed as being appropriate for use in decision support and in general simulation of Irish dairy cows.en_GB
dc.language.isoenen_GB
dc.publisherAICSen_GB
dc.subjectReproductive performanceen_GB
dc.subjectDairy cowsen_GB
dc.subjectmultivariate modelen_GB
dc.subjectdata miningen_GB
dc.subjectIrelanden_GB
dc.subjectinsemination coutcomeen_GB
dc.subjectlogistic regression modelen_GB
dc.titleA comparison of machine learning techniques for predicting insemination outcome in Irish dairy cowsen_GB
dc.typeOtheren_GB
dc.contributor.sponsorDairy Levy Research Trust
refterms.dateFOA2018-01-12T08:35:54Z


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