Applying machine learning to understand the relationship between body weight and beak and nail dimensions in broiler chickens-Reference-Cited by-同舟云学术

Applying machine learning to understand the relationship between body weight and beak and nail dimensions in broiler chickens

Published:2024-06-03 Issue:1 Volume:23 Page:859-867
ISSN:1828-051X
Container-title:Italian Journal of Animal Science
language:en
Short-container-title:Italian Journal of Animal Science

Author:

Nazareno Aérica Cirqueira¹,Silveira Robson Mateus Freitas¹²^ORCID,Sakamoto Karina Suemi¹,Frankin Joana Beatriz Bellas¹,Silva Iran José Oliveira da¹^ORCID

Affiliation:

1. Environment Livestock Research Group (NUPEA), Department of Biosystems Engineering, ‘‘Luiz de Queiroz’’ College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil

2. Department of Animal Science, ‘‘Luiz de Queiroz’’ College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/1828051X.2024.2339432

Reference19 articles.

1. Feed intake response of broilers: Impact of feed processing

2. Image analysis method to evaluate beak and head motion of broiler chickens during feeding

3. Skin lesions in broiler chickens measured at the slaughterhouse: relationships between lesions and between their prevalence and rearing factors

4. Benincasa NC. 2017. Caracterização do sistema de criação de frangos de corte em galpões de pressão negativa, das operações pré-abate e da qualidade do produto final. Dissertação de mestrado. Piracicaba:University of São Paulo.

5. Efeito da granulometria do milho sobre o desempenho zootécnico e rendimento de carcaça de frangos de corte de linhagem caipira;Carioca Júnior HR;Enc. Biosf,2015