Application of machine learning algorithms to predict dead on arrival of broiler chickens raised without antibiotic program

Application of machine learning algorithms to predict dead on arrival of broiler chickens raised without antibiotic program

ABSTRACT: Understanding the factors of dead-on-arrival (DOA) incidents during pre-slaughter handling is crucial for informed decision-making, improving broiler welfare, and optimizing farm profitability. In this study, 3 different machine learning (ML) algorithms — least absolute shrinkage and selec...

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Bibliographic Details
Main Authors: Pranee Pirompud, Panneepa Sivapirunthep, Veerasak Punyapornwithaya, Chanporn Chaosap
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Poultry Science
Subjects:
risk factor
stocking density
classification tree
random forests
sampling technique
Online Access:http://www.sciencedirect.com/science/article/pii/S003257912400083X

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http://www.sciencedirect.com/science/article/pii/S003257912400083X

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