Classification methodology for broilers breeders' behaviors based on machine vision techniques

• Grant number: 08/05538-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: July 01, 2009
• End date: February 28, 2010
• Field of knowledge: Agronomical Sciences - Agricultural Engineering - Rural Buildings and Ambience
• Principal Investigator: Danilo Florentino Pereira
• Grantee: Bruno César Brito Miyamoto
• Host Institution: Universidade Estadual Paulista (UNESP). Campus de Tupã. Tupã , SP, Brazil

Abstract

The utilization of images recorded by video camera in the broilers breeders' behaviors analysis, eliminates the effect of the human presence in poultry's behavior, but it doesn't solve problems related with wrong human interpretation, which are caused by human imprecision or human tiredness when the data analysis demand long time. It's proposed in this research the creation of a new methodology based on frames sequence analysis to differentiate broiler breeder's behaviors which weren't totally distinguished using the methodology based on only frame analysis, made by Miyamoto (2008). The tree decision developed in Miyamoto's (2008) research and the new methodology based on frames sequence analysis, will contribute to the development of a machine vision system which will be able to classify broilers breeders' behaviors and will contribute to the building of computing models to estimate automatically poultry's welfare state.