Development of an Early Alarm System for a Broiler House using Image Distribution Index Prediction
Anomalous animal behavior and reduced growth rate are just a few signs that can indicate an undesired situation in a broiler house.It is important that problems such as diseases,technical malfunctioning in feeding and drinking lines and suboptimal management procedures are detected in an early stage to avoid harming the welfare or the production results of broilers.This paper introduces an automated method to detect problems in a broiler house using cameras and an image analysis software.Three top view cameras mounted in the ridge of a house at the height of 5 with a dimension of 19.8 by 63.5 meters continuously monitored the floor space below.Analysis software translated these images into animal distribution index in the house.The final objective was to develop a system that could report malfunctioning in a broiler house to the farmer in real-time.In an experiment with Ross 308 broilers,distribution index data were collected every 5 minutes in a commercial broiler house with 28000 animals.Based on the distribution index data.a linear real-time model was developed and tested to model the animal distribution index as a response to the light input.Using this model,an online prediction could be made on animal distribution index.By comparing the predicted values with the measurements in real-time,malfunctioning could be detected.Results showed that this method was able to report 95.24 per cent of events (20 out of 21)in real-time.
Mohammadamin Kashiha Arno Pluk Claudia Bahr Erik Vranken Daniel Berckmans
M3-BIORES-Measure,Model & Manage Bioresponses,KU Leuven,Kasteelpark Arenberg 30,B-3001 Leuven,Belgium
国际会议
XVIth International Congress on Animal Hygiene(第十六届动物卫生国际会议(ISAH 2013))
南京
英文
414-417
2013-05-05（万方平台首次上网日期，不代表论文的发表时间）