Data/hora: 12/06/2024 09:54:27

Provedor de dados: | 70
País: | Brazil
Título: | Using data mining to identify factors that influence the degree of leg injuries in broilers
Autores: | Cordeiro,Alexandra F. da S.; Baracho,Marta dos S.; Nääs,Irenilza de A.; Nascimento,Guilherme R. do.
Data: | 2012-08-01
Ano: | 2012
Palavras-chave: | Decision tree; Poultry; Gait score.
Resumo: | Locomotor problems prevent the bird to move freely, jeopardizing the welfare and productivity, besides generating injuries on the legs of chickens. The objective of this study was to evaluate the influence of age, use of vitamin D, the asymmetry of limbs and gait score, the degree of leg injuries in broilers, using data mining. The analysis was performed on a data set obtained from a field experiment in which it was used two groups of birds with 30 birds each, a control group and one treated with vitamin D. It was evaluated the gait score, the asymmetry between the right and left toes, and the degree of leg injuries. The Weka ® software was used in data mining. In particular, C4.5 algorithm (also known as J48 in Weka environment) was used for the generation of a decision tree. The results showed that age is the factor that most influences the degree of leg injuries and that the data from assessments of gait score were not reliable to estimate leg weakness in broilers.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000400003
Editor: | Associação Brasileira de Engenharia Agrícola
Relação: | 10.1590/S0100-69162012000400003
Formato: | text/html
Fonte: | Engenharia Agrícola  v.32 n.4 2012
Fonte: | info:eu-repo/semantics/openAccess