Computer-assisted image analysis to quantify daily growth rates of broiler chickens.
1. The objective was to investigate the possibility of detecting daily body weight changes of broiler chickens with computer-assisted image analysis. 2. The experiment included 50 broiler chickens reared under commercial conditions. Ten out of 50 chickens were randomly selected and video recorded (upper view) 18 times during the 42-d growing period. The number of surface and periphery pixels from the images was used to derive a relationship between body dimension and live weight. 3. The relative error in weight estimation, expressed in terms of the standard deviation of the residuals from image surface data was 10%, while it was found to be 15% for the image periphery data. 4. Image-processing systems could be developed to assist the farmer in making important management and marketing decisions.
De Wet
L
L
Department of Animal Sciences, University of Stellenbosch, Matieland, South Africa.
Vranken
E
E
Chedad
A
A
Aerts
J M
JM
Ceunen
J
J
Berckmans
D
D
D000818:Animals; D001331:Automation; D001830:Body Surface Area; D001835:Body Weight / Q000502:physiology*; D002645:Chickens / Q000254:growth & development*; D007091:Image Processing, Computer-Assisted; D015203:Reproducibility of Results; D012984:Software; D013997:Time Factors