Accuracy of Broiler Activity Index as Affected by Sampling Time Interval
2020
Xiao Yang | Yang Zhao | George T. Tabler
Different time intervals between consecutive images have been used to determine broiler activity index (AI). However, the accuracy of broiler AI as affected by sampling time interval remains to be explored. The objective of this study was to investigate the effect of the sampling time interval (0.04, 0.2, 1, 10, 60, and 300 s) on the accuracy of broiler AI at different bird ages (1&ndash:7 weeks), locations (feeder, drinker, and open areas) and times of day (06:00&ndash:07:00 h, 12:00&ndash:13:00 h, and 18:00&ndash:19:00 h). A ceiling-mounted camera was used to capture top-view videos for broiler AI calculations. The results show that the sampling time interval of 0.04 s yielded the highest broiler AI because more bird motion details were captured at this short time interval. The broiler AIs at longer time intervals were 1&ndash:99% of that determined at the 0.04-s interval. The broiler AI at 0.2-s interval showed an acceptable accuracy with 80% less computational resources. Broiler AI decreased as birds aged but increased after week 4 at the drinker area. Broiler AI was the highest at the open area for weeks 1&ndash:4 and at the feeder and drinker areas for weeks 5&ndash:7. It is concluded that the accuracy of broiler AI was significantly affected by sampling time intervals. Broiler AI in commercial housing showed both temporal and spatial variations.
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