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

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 live body...

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Detalles Bibliográficos
Autores principales: Chen, Jin-Tian, He, Peng-Guang, Jiang, Jin-Song, Yang, Ye-Feng, Wang, Shou-Yi, Pan, Cheng-Hao, Zeng, Li, He, Ye-Fan, Chen, Zhong-Hao, Lin, Hong-Jian, Pan, Jin-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
MANAGEMENT AND PRODUCTION
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646972/
https://www.ncbi.nlm.nih.gov/pubmed/36335741
http://dx.doi.org/10.1016/j.psj.2022.102239

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646972/
https://www.ncbi.nlm.nih.gov/pubmed/36335741
http://dx.doi.org/10.1016/j.psj.2022.102239

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