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Development of Machine Vision Based Poultry Behavior Analysis System

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Paper number  033083,  2003 ASAE Annual Meeting . (doi: 10.13031/2013.14053) @2003
Authors:   G.F. Figueiredo, T.W. Dickerson, E.R. Benson, G.L. Van Wicklen, N. Gedamu
Keywords:   Activity, animal behavior, automation, behavior, boiler, Delaware, image, image processing, machine vision, poultry, poultry housing,

Environmental controllers are used in most current production poultry houses. The current controllers match house temperature to predefined temperature settings. In this project, an image analysis system was developed to extract bird temperature response and feeding behavior from a commercial poultry setting. The algorithm evaluated flock aggregate behavior rather than track specific birds. Image subtraction and masking was used to separate the birds from the background. Image morphology was used to size filter the birds from the background. Results are presented in the text.

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