Real-time monitoring of broiler flock's welfare status using camera-based technology
Real-time monitoring of broiler flock's welfare status using camera-based technology
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DOI：
10.1016/j.biosystemseng.2018.05.008
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发表时间：
2018-09-01
影响因子：
5.1
通讯作者：
Berckmans, Daniel
中科院分区：
文献类型：
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作者：
Fernandez, Alberto Pena;Norton, Tomas;Berckmans, Daniel
在目视检查期间，农民对肉鸡活动和占据模式特别感兴趣。然而，这是耗时的，而精密畜牧业（PLF）技术可以在室内以连续和自动化的方式监测这些关键的羊群行为指标。其目的是展示如何通过实时监测活动和职业模式来评估家禽群的福利状况。将四个俯视摄像机安装在商业肉鸡舍中，持续9个完整的生长周期。摄像机连续记录图像，并将其转化为每分钟的活动和职业指数的数值。根据肉鸡的标准化福利质量评估方案，在每个生长周期的第3、4和5周进行三次福利评估。开发了一个实时动态模型来监测和预测这些指数的时间演变以及每个生长周期正常行为的置信区间。鸟类在生长周期中处于警戒状态的时间与表现出更差福利评分的鸟类百分比之间存在统计学相关性（p < 0.05），分别为职业偏差和脚垫损伤（R-2 = 0.60）以及活动偏差和飞节烧伤（R-2 = 0.70）。此外，这些偏差可以通过与特定肉鸡行为（例如喂食、饮水和休息）相关的特定区域中的活动和占用指数之间的关系来定位在禽舍内。评估这种关系，定期活动和职业模式的每一种行为的定义。这项工作表明，有可能将商业农场中肉鸡群的活动和职业模式的偏差与人类专家的福利评估评分联系起来。该工具允许农民评估鸟群中福利问题的风险，并获得有关哪些鸟类行为受到影响以及触发这些警报的房屋位置的早期警报。(C)2018由Elsevier Ltd代表IAgrE发布。
Broiler activity and occupation patterns are of special interest to farmers during visual inspection. However, this is time consuming and precision livestock farming (PLF) technologies can enable the monitoring of such key flock behavioural indicators in a continuous and automated way in the house. The aim is to show how the welfare status of the poultry flock can be evaluated by real-time monitoring of activity and occupation patterns. Four top view cameras were installed in a commercial broiler house for 9 complete growing cycles. The cameras recorded images continuously and they were translated into numerical values of activity and occupation indices each minute. Three welfare assessments were performed in weeks 3, 4 and 5 of each growing cycle according to the standardised Welfare Quality assessment protocol for broiler chickens. A real-time dynamic model was developed to monitor and forecast the time evolution of these indices and the confidence intervals for normal behaviour over each growing cycle. Statistically relevant correlations (p < 0.05) between the time birds spent in an alert situation during the growing cycle and the percentage of birds showing worse welfare scores were found for occupation deviations and foot pad lesions (R-2 = 0.60) and activity deviations and hock burns (R-2 = 0.70). Furthermore, these deviations can be located inside the poultry house through the relation between activity and occupation indices in specific areas associated with particular broiler behaviours, such as feeding, drinking and resting. Evaluating this relation, regular activity and occupation patterns for each behaviour were defined. This work shows that it is possible to link deviations in activity and occupation patterns of broiler flocks in commercial farms with the welfare assessment scores by human experts. This tool allows the farmer to evaluate the risk of welfare issues in the flock and to get early warnings about which bird behaviours are affected and the location in the house where these alerts are being triggered. (C) 2018 Published by Elsevier Ltd on behalf of IAgrE.