An initial investigation into the use of machine learning methods for prediction of carcass component yields in F2 broiler chickens
Hossein Bani Saadat,
Rasoul Vaez Torshizi,
Ghader Manafiazar
et al.
Abstract:Context As evaluation of carcass components is costly and time consuming, models for prediction of broiler carcass components are useful. Aims The aim was to investigate the feasibility of machine learning methods in the prediction of carcass components from measurements on live birds during the rearing period. Methods Three machine learning methods, including regression tree, random forest and gradient-boosting trees, were applied to predict carcass yields, and benchmarked against classical line… Show more
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