Predicting and explaining high dead-on-arrival outcomes in meat-type ducks using deep learning: A path to improved welfare management

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dc.contributor.authorChalita Jainonthee
dc.contributor.authorPhutsadee Sanwisate
dc.contributor.authorPanneepa Sivapirunthep
dc.contributor.authorChanporn Chaosap
dc.contributor.authorDuangporn Pichpol
dc.contributor.authorRaktham Mektrirat
dc.contributor.authorSudarat Chadsuthi
dc.contributor.authorVeerasak Punyapornwithaya
dc.date.accessioned2025-07-21T06:12:59Z
dc.date.issued2025-06-13
dc.identifier.doi10.1016/j.psj.2025.105439
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/14461
dc.subject.classificationAnimal Behavior and Welfare Studies
dc.titlePredicting and explaining high dead-on-arrival outcomes in meat-type ducks using deep learning: A path to improved welfare management
dc.typeArticle

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