Evaluation of an ear-attached accelerometer for detecting estrus events in indoor housed dairy cows

Evaluation of an ear-attached accelerometer for detecting estrus events in indoor housed dairy cows
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DOI:
10.1016/j.theriogenology.2019.02.038
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发表时间:
2019-05-01
期刊:
影响因子:
2.8
通讯作者:
Iwersen, M.
Iwersen, M.
中科院分区:
农林科学2区
文献类型:
--
作者:
Schweinzer, V.;Gusterer, E.;Iwersen, M.

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精准奶牛养殖技术具有巨大的潜力,可以改善和支持农民的牛群管理决策,特别是在生殖管理方面。如今,母牛的发情检测具有挑战性,并且有几种支持工具可用。在本研究中,使用集成到耳标(SMARTBOW,Smartbow GmbH,Weibern,Austria)中的3D加速度计检测发情期奶牛。基于加速度计数据的运动模式通过算法和机器学习进行分析和处理,从而产生发情警报。为了评价该系统,使用579头经产奶牛发情事件的生殖性能数据,回顾性评价基于加速计的系统生成的发情警报的准确性和系统的整体性能。如果发情后出现Al导致妊娠,则将发情事件归类为"金标准"事件,如果畜群记录中有间隔为18 - 25 d的两次发情事件,则将发情事件归类为"记录的发情"事件,与发情后出现Al或妊娠无关。总共有316个“黄金标准”事件与基于加速度计的系统生成的发情警报相匹配,灵敏度为97%。此外,将263个"记录的发情"事件与系统发出的正确或不正确的发情警报进行比较。"记录发情"事件的敏感性、特异性、阳性和阴性预测值、准确性和错误率分别为97%、98%、96%、94%、96%和2%。总之,SMARTBOW系统适用于室内饲养奶牛中经产奶牛发情事件的自动检测。(C)2019爱思唯尔公司All rights reserved.
Precision dairy farming technologies have tremendous potential to improve and support farmers in herd management decisions, particularly in reproductive management. Nowadays, estrus detection in cows is challenging and several supporting tools are available. In this study, a 3D-accelerometer integrated into an ear-tag (SMARTBOW, Smartbow GmbH, Weibern, Austria) was used for the detection of cows in estrus. Movement pattern based on accelerometer data were analyzed and processed by algorithms and machine learning, resulting in estrus alerts. For the evaluation of the system, reproductive performance data of 579 estrus events of multiparous cows were used to retrospectively evaluate the accuracy of estrus alerts generated by the accelerometer-based system and the overall performance of the system. Estrus events were classified as 'gold standard' events, if an estrus followed by Al resulted in pregnancy, and as 'recorded estrus' events, if two estrus events with an interval of 18-25 d were in the herd records, independent of whether estrus was followed by Al or pregnancy. In total, 316 'gold standard' events were matched with estrus alerts generated by the accelerometer-based system, resulting in a sensitivity of 97%. Furthermore, 263 'recorded estrus' events were compared with correct or incorrect estrus alerts by the system. Sensitivity, specificity, positive and negative predictive values, accuracy, and error rate for 'recorded estrus' events were 97%, 98%, 96%, 94%, 96%, and 2%, respectively. In summary, the SMARTBOW system is suitable for an automated detection of estrus events of multiparous cows in indoor housed dairy cows. (C) 2019 Elsevier Inc. All rights reserved.