首页|New Findings on Machine Learning Described by Investigators at Center for AgriBi osciences (An Initial Investigation Into the Use of Machine Learning Methods for Prediction of Carcass Component Yields In F2 Broiler Chickens)
New Findings on Machine Learning Described by Investigators at Center for AgriBi osciences (An Initial Investigation Into the Use of Machine Learning Methods for Prediction of Carcass Component Yields In F2 Broiler Chickens)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news originating from Bundoora, Australia, by NewsR x correspondents, research stated, "As evaluation of carcass components is costl y and time consuming, models for prediction of broiler carcass components are us eful.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 linear regression. Two scenarios were defined for prediction."
BundooraAustraliaAustralia and New Z ealandCyborgsEmerging TechnologiesGeneticsMachine LearningCenter for A griBiosciences
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