174 A comparison of machine learning algorithms in the classification of beef steers finished in feedlot

The aim of this project is to compare some of the state-of-the-art machine learning algorithms on the classification of steers finished in feedlots based on performance, carcass and meat quality traits. The precise classification of animals allows for fast, real-time decision making in animal food i...

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Veröffentlicht in:J Anim Sci
Hauptverfasser: Lopes, Lucas S, Baes, Christine F, Tulpan, Dan, Chardulo, Luis Artur Loyola, Neto, Otavio Machado, Baldassini, Welder Angelo
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2020
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7702811/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jas/skaa278.231
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