In vivo prediction of abdominal fat and breast muscle in broiler chicken using live body measurements based on machine learning

In vivo prediction of abdominal fat and breast muscle in broiler chicken using live body measurements based on machine learning

ABSTRACT: The purpose of this study was to predict the carcass characteristics of broilers using support vector regression (SVR) and artificial neural network (ANN) model methods. Data were obtained from 176 yellow feather broilers aged 100-day-old (90 males and 86 females). The input variables were...

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Bibliographic Details
Main Authors: Jin-Tian Chen, Peng-Guang He, Jin-Song Jiang, Ye-Feng Yang, Shou-Yi Wang, Cheng-Hao Pan, Li Zeng, Ye-Fan He, Zhong-Hao Chen, Hong-Jian Lin, Jin-Ming Pan
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Poultry Science
Subjects:
carcass characteristics
noninvasive method
support vector regression
artificial neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S0032579122005351

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http://www.sciencedirect.com/science/article/pii/S0032579122005351

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