Use of novel sensors combining local positioning and acceleration to measure feeding behavior differences associated with lameness in dairy cattle
Use of novel sensors combining local positioning and acceleration to measure feeding behavior differences associated with lameness in dairy cattle
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DOI：
10.3168/jds.2016-12172
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发表时间：
2018-07-01
影响因子：
3.5
通讯作者：
Amory, J. R.
中科院分区：
文献类型：
--
作者：
Barker, Z. E.;Diosdado, J. A. Vazquez;Amory, J. R.
奶农的时间限制是导致跛行检测不足的一个重要因素，导致许多商业奶牛群中的跛行奶牛延迟或错过治疗。因此，需要能够监测诸如进食所花费的时间的行为的灵活且可负担得起的基于奶牛的传感器系统，所述行为可能受到跛行发作的影响。在这项研究中，一种新的颈部安装的移动的传感器系统，结合本地定位和活动（加速度）进行了测试和验证的商业英国奶牛场。连续5天收集19头高产奶牛（10头跛脚，9头非跛脚）的位置和活动数据，这些奶牛形成了一个较大的（120头奶牛）管理组的一个子集，该管理组位于自由放养的牛舍中。开发了一种决策树算法，包括传感器记录的位置和加速度计数据，将奶牛分类为3种行为中的1种：（1）喂养，（2）不喂养，（3）离开围栏挤奶。对于每种分类行为，每天确定平均发作次数、平均发作持续时间和所有发作的平均总持续时间，并分别确定挤奶之间的时间段（上午= 0630-1300 h;下午= 1430-2100 h;晚上= 2230-0500 h）。采用Welch t检验和Benjarnini-Hochberg事后校正，在跛行和非跛行奶牛2个试验组之间行为发作次数或持续时间无差异的零假设下，对分类奶牛行为进行比较分析。分析表明，与非跛行奶牛相比，跛行奶牛的平均每日总饲喂持续时间显著较低。行为也受到影响的一天的时间与显着降低平均总喂养时间和较高的总持续时间非喂养的下午与nonlame奶牛相比，跛脚奶牛。结果表明，测量位置和加速度的传感器能够检测到可能与跛行相关的进食行为差异。这种行为差异可用于开发预测算法，用于及时检测跛行，作为商业上可行的自动行为监测系统的一部分。
Time constraints for dairy farmers are an important factor contributing to the under-detection of lameness, resulting in delayed or missed treatment of lame cows within many commercial dairy herds. Hence, a need exists for flexible and affordable cow-based sensor systems capable of monitoring behaviors such as time spent feeding, which may be affected by the onset of lameness. In this study a novel neck-mounted mobile sensor system that combines local positioning and activity (acceleration) was tested and validated on a commercial UK dairy farm. Position and activity data were collected over 5 consecutive days for 19 high-yield dairy cows (10 lame, 9 nonlame) that formed a subset of a larger (120 cow) management group housed in a freestall barn. A decision tree algorithm that included sensor-recorded position and accelerometer data was developed to classify a cow as doing 1 of 3 categories of behavior: (1) feeding, (2) not feeding, and (3) out of pen for milking. For each classified behavior the mean number of bouts, the mean bout duration, and the mean total duration across all bouts was determined on a daily basis, and also separately for the time periods in between milking (morning = 0630-1300 h; afternoon = 1430-2100 h; night = 2230-0500 h). A comparative analysis of the classified cow behaviors was undertaken using a Welch t-test with Benjarnini-Hochberg post-hoc correction under the null hypothesis of no differences in the number or duration of behavioral bouts between the 2 test groups of lame and nonlame cows. Analysis showed that mean total daily feeding duration was significantly lower for lame cows compared with non-lame cows. Behavior was also affected by time of day with significantly lower mean total duration of feeding and higher total duration of nonfeeding in the afternoons for lame cows compared with nonlame cows. The results demonstrate how sensors that measure both position and acceleration are capable of detecting differences in feeding behavior that may be associated with lameness. Such behavioral differences could be used in the development of predictive algorithms for the prompt detection of lameness as part of a commercially viable automated behavioral monitoring system.