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Technical note: Evaluation of an ear-attached movement sensor to record cow feeding behavior and activity

机译:技术说明:评估带耳朵的运动传感器,以记录奶牛的喂养行为和活动

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摘要

The ability to monitor dairy cow feeding behavior and activity could improve dairy herd management. A 3-dimensional accelerometer (SensOor; Agis Automatisering BV, Harmelen, the Netherlands) has been developed that can be attached to ear identification tags. Based on the principle that behavior can be identified by ear movements, a proprietary model classifies sensor data as "ruminating," "eating," "resting," or "active." The objective of the study was to evaluate this sensor on accuracy and precision. First, a pilot evaluation of agreement between 2 independent observers, recording behavior from 3 cows for a period of approximately 9 h each, was performed. Second, to evaluate the sensor, the behavior of 15 cows was monitored both visually (VIS) and with the sensor (SENS), with approximately 20 h of registration per cow, evenly distributed over a 24-h period, excluding milking Cows were chosen from groups of animals in different lactation stages and parities. Each minute of SENS and VIS data was classified into 1 of 9 categories (8 behaviors and 1 transition behavior) and summarized into 4 behavioral groups, namely ruminating, eating, resting, or active, which were analyzed by calculating kappa (κ) values. For the pilot evaluation, a high level of agreement between observers was obtained, with k values of ≥0.96 for all behavioral categories, indicating that visual observation provides a good standard. For the second trial, relationships between SENS and VIS were studied by k values on a minute basis and Pearson correlation and concordance correlation coefficient analysis on behavior expressed as percentage of total registration time. Times spent ruminating, eating, resting, and active were 42.6, 15.9, 31.6, and 9.9% (SENS) respectively, and 42.1, 13.0, 30.0, and 14.9% (VIS), respectively. Overall k for the comparison of SENS and VIS was substantial (0.78), with k values of 0.85, 0.77, 0.86, and 0.47 for "ruminating," "eating," "resting," and "active," respectively. Pearson correla- tion and concordance correlation coefficients between SENS and VIS for "ruminating," "eating," "resting," and "active" were 0.93, 0.88, 0.98, and 0.73, and 0.93, 0.75, 0.97, and 0.35, respectively. In conclusion, the results provide strong evidence that the present ear sensor technology can be used to monitor ruminating and resting behavior of freestall-housed dairy cattle. Our results also suggest that this technology shows promise for monitoring eating behavior, whereas more work is needed to determine its suitability to monitor activity of dairy cattle.
机译:监测奶牛饲养行为和活动的能力可以改善奶牛群的管理。已经开发了一种3维加速度计(SensOor; Agis Automatisering BV,荷兰哈默伦),可以将其附加到耳朵识别标签上。基于可以通过耳朵的动作识别行为的原理,专有模型将传感器数据分类为“沉思”,“进食”,“休息”或“活跃”。研究的目的是评估这种传感器的准确性和精确性。首先,进行了2位独立观察员之间的协议的初步评估,记录了3头母牛的行为,每组约9小时。其次,为了评估传感器,通过视觉(VIS)和传感器(SENS)监控了15头母牛的行为,每头母牛大约记录了20小时,在24小时内均匀分布,不包括挤奶来自不同泌乳阶段和胎次的动物。 SENS和VIS数据的每分钟分为9个类别中的1个类别(8个行为和1个过渡行为),并归纳为4个行为组,即反刍,进食,休息或活动,通过计算kappa(κ)值进行分析。对于试点评估,观察者之间达成了高度共识,所有行为类别的k值均≥0.96,这表明视觉观察提供了一个良好的标准。对于第二个试验,以分钟为单位通过k值研究SENS与VIS之间的关系,并以总注册时间的百分比表示行为的Pearson相关性和一致性相关系数分析。反省,进食,休息和活动的时间分别是42.6%,15.9%,31​​.6和9.9%(SENS)和42.1%,13.0%,30.0和14.9%(VIS)。比较SENS和VIS的总k值很大(0.78),“反刍”,“饮食”,“休息”和“活跃”的k值分别为0.85、0.77、0.86和0.47。 SENS和VIS之间“反刍”,“进食”,“休息”和“活跃”的Pearson相关和一致性相关系数分别为0.93、0.88、0.98和0.73,以及0.93、0.75、0.97和0.35。 。总之,这些结果提供了有力的证据,表明当前的耳传感器技术可用于监测带小隔间的奶牛的反刍和休息行为。我们的结果还表明,这项技术显示出监测饮食行为的前景,而需要更多的工作来确定其监测奶牛活动的适用性。

著录项

  • 来源
    《Journal of dairy science》 |2014年第5期|2974-2979|共6页
  • 作者单位

    Animal Nutrition Group, Wageningen University, PO Box 338, 6700 AH Wageningen, the Netherlands;

    Nutreco R&D, PO Box 220, 5830 AE Boxmeer, the Netherlands;

    Agis Automatisering, PO Box 46, 3480 DA, Harmelen, the Netherlands;

    Nutreco R&D, PO Box 220, 5830 AE Boxmeer, the Netherlands;

    Agis Automatisering, PO Box 46, 3480 DA, Harmelen, the Netherlands;

    Agis Automatisering, PO Box 46, 3480 DA, Harmelen, the Netherlands;

    Animal Nutrition Group, Wageningen University, PO Box 338, 6700 AH Wageningen, the Netherlands;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    sensor technology; dairy cow behavior; ruminating;

    机译:传感器技术奶牛行为;反省;

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