• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

技术说明:两种市售活动记录仪的验证和比较。

Technical note: Validation and comparison of 2 commercially available activity loggers.

机构信息

Department of Large Animal Sciences, University of Copenhagen, Grønnegårdsvej 8, DK-1870 Frederiksberg C, Denmark.

Department of Environmental Science and Policy, Università degli Studi di Milano, Via Celoria 2, 20133 Milano, Italy.

出版信息

J Dairy Sci. 2018 Jun;101(6):5449-5453. doi: 10.3168/jds.2017-13784. Epub 2018 Mar 15.

DOI:10.3168/jds.2017-13784
PMID:29550134
Abstract

To validate the accuracy of 2 commercially available activity loggers in determining lying, standing, walking, and number of steps in dairy cows, 30 cows were fitted with the CowScout Leg (GEA Farm Technologies, Bönen, Germany) system and the IceTag (IceRobotics Ltd., Edinburgh, Scotland) system. The CowScout Leg logger reports standing and lying in 15-min periods, whereas the IceTag logger reports standing and lying every second. To make data comparable, the IceTag data were therefore also summarized over 15-min periods corresponding to the paired CowScout Leg sensor. These data from the 2 systems were then analyzed (more than 1,000 cow days in total). Video recordings of a total of 29.5 h were used for labeling the behaviors of the selected cows (n = 10) and these labels were used as a gold standard to determine the accuracy with which these 2 loggers can record behavioral states lying, standing, walking, and the behavioral event number of steps. A concordance correlation coefficient analysis showed that both the standing and lying durations obtained with the 2 systems were almost perfectly correlated with the video labeling (IceTag: ρ = 0.999 and 0.999, respectively; CowScout Leg: ρ = 0.995 and 0.996, respectively). However, both loggers performed poorly regarding number of steps (classified as an event; IceTag: ρ = 0.629; CowScout Leg: ρ = 0.678) and CowScout Leg did not detect walking (classified as a state) very accurately (ρ = 0.860). The IceTag system does not measure walking behavior. When comparing the 2 loggers, the correlation between them for standing and lying was substantial (ρ = 0.953 and ρ = 0.953, respectively). The number of steps poorly correlated between the 2 loggers (ρ = 0.593), which might be due to the CowScout Leg logger being attached to the front leg and the IceTag logger being attached to the hind leg. We conclude that both the IceTag and the CowScout Leg logger are able to record standing and lying almost perfectly, but the step counting by both loggers and the walking recording by the CowScout Leg logger are not very accurate.

摘要

为了验证 2 种市售活动记录仪在确定奶牛躺卧、站立、行走和步数方面的准确性,给 30 头奶牛佩戴了 CowScout Leg(GEA Farm Technologies,Bönen,德国)系统和 IceTag(IceRobotics Ltd.,爱丁堡,苏格兰)系统。CowScout Leg 记录仪以 15 分钟为周期报告站立和躺卧状态,而 IceTag 记录仪则每秒报告一次站立和躺卧状态。为了使数据具有可比性,因此也将 IceTag 数据汇总为与配对的 CowScout Leg 传感器相对应的 15 分钟周期。对这 2 个系统的数据(总共超过 1000 天奶牛数据)进行了分析。对总计 29.5 小时的视频记录进行了分析,用于对选定奶牛(n=10)的行为进行标记,这些标记被用作确定这 2 个记录仪记录躺卧、站立、行走和步数等行为状态准确性的金标准。一致性相关系数分析表明,这 2 个系统获得的站立和躺卧时长与视频标记几乎完全相关(IceTag:ρ=0.999 和 0.999;CowScout Leg:ρ=0.995 和 0.996)。然而,这 2 个记录仪在步数方面的表现都很差(被归类为事件;IceTag:ρ=0.629;CowScout Leg:ρ=0.678),并且 CowScout Leg 不能准确地检测行走(被归类为状态)(ρ=0.860)。IceTag 系统不测量行走行为。在比较这 2 个记录仪时,它们之间的站立和躺卧状态相关性很强(ρ=0.953 和 ρ=0.953)。这 2 个记录仪之间的步数相关性较差(ρ=0.593),这可能是由于 CowScout Leg 记录仪附在前腿上,而 IceTag 记录仪附在后腿上。我们得出的结论是,IceTag 和 CowScout Leg 记录仪都能够几乎完美地记录站立和躺卧状态,但这 2 个记录仪的计步功能以及 CowScout Leg 记录仪的行走记录功能都不是很准确。

相似文献

1
Technical note: Validation and comparison of 2 commercially available activity loggers.技术说明:两种市售活动记录仪的验证和比较。
J Dairy Sci. 2018 Jun;101(6):5449-5453. doi: 10.3168/jds.2017-13784. Epub 2018 Mar 15.
2
Methodology for quantifying the behavioral activity of dairy cows in freestall barns. quantification 行为活动 牛舍
J Anim Sci. 2013 Oct;91(10):4899-907. doi: 10.2527/jas.2012-5554. Epub 2013 Aug 21.
3
Technical note: Quantifying and characterizing behavior in dairy calves using the IceTag automatic recording device.技术说明:使用IceTag自动记录设备对犊牛行为进行量化和特征描述。
J Dairy Sci. 2009 Jul;92(7):3397-401. doi: 10.3168/jds.2009-2040.
4
Technical note: evaluation of data loggers for measuring lying behavior in dairy calves.技术说明:用于测量奶牛犊牛卧息行为的数据记录仪评估。
J Dairy Sci. 2013 May;96(5):3265-71. doi: 10.3168/jds.2012-6003. Epub 2013 Mar 15.
5
Evaluation of data loggers, sampling intervals, and editing techniques for measuring the lying behavior of dairy cattle.评估数据记录仪、采样间隔和编辑技术,以测量奶牛的卧息行为。
J Dairy Sci. 2010 Nov;93(11):5129-39. doi: 10.3168/jds.2009-2945.
6
Technical note: Validation of sensor-recorded lying bouts in lactating dairy cows using a 2-sensor approach.技术说明:采用双传感器方法验证泌乳奶牛传感器记录的躺卧时段
J Dairy Sci. 2015 Nov;98(11):7911-6. doi: 10.3168/jds.2015-9554. Epub 2015 Sep 3.
7
A validation of technologies monitoring dairy cow feeding, ruminating, and lying behaviors.监测奶牛采食、反刍和躺卧行为的技术验证
J Dairy Sci. 2016 Sep;99(9):7458-7466. doi: 10.3168/jds.2015-10843. Epub 2016 Aug 8.
8
Lameness detection via leg-mounted accelerometers on dairy cows on four commercial farms.通过安装在四个商业农场奶牛腿部的加速度计进行跛足检测。
Animal. 2015 Oct;9(10):1704-12. doi: 10.1017/S1751731115000890. Epub 2015 Jun 4.
9
Technical note: validation of data loggers for recording lying behavior in dairy goats.技术说明:用于记录奶山羊躺卧行为的数据记录器的验证
J Dairy Sci. 2015 Feb;98(2):1082-9. doi: 10.3168/jds.2014-8635. Epub 2014 Dec 12.
10
Validating the accuracy of activity and rumination monitor data from dairy cows housed in a pasture-based automatic milking system.验证基于牧场的自动挤奶系统中奶牛活动和反刍监测数据的准确性。
J Dairy Sci. 2013 Oct;96(10):6412-22. doi: 10.3168/jds.2013-6790. Epub 2013 Aug 16.

引用本文的文献

1
Validation of a leg-mounted pedometer for the measurement of steps in lactating Holstein cows.用于测量泌乳期荷斯坦奶牛步数的腿部佩戴式计步器的验证
JDS Commun. 2023 Nov 4;5(1):67-71. doi: 10.3168/jdsc.2023-0403. eCollection 2024 Jan.
2
Health Status Classification for Cows Using Machine Learning and Data Management on AWS Cloud.使用机器学习和AWS云数据管理对奶牛健康状况进行分类
Animals (Basel). 2023 Oct 18;13(20):3254. doi: 10.3390/ani13203254.
3
Sensor based time budgets in commercial Dutch dairy herds vary over lactation cycles and within 24 hours.
基于传感器的商业荷兰奶牛场的时间预算在泌乳周期和 24 小时内有所不同。
PLoS One. 2022 Feb 25;17(2):e0264392. doi: 10.1371/journal.pone.0264392. eCollection 2022.
4
Wearable Wireless Biosensor Technology for Monitoring Cattle: A Review.用于监测牛的可穿戴无线生物传感器技术:综述
Animals (Basel). 2021 Sep 23;11(10):2779. doi: 10.3390/ani11102779.
5
A Systematic Review on Commercially Available and Validated Sensor Technologies for Welfare Assessment of Dairy Cattle.关于用于奶牛福利评估的商用且经过验证的传感器技术的系统评价。
Front Vet Sci. 2021 Mar 29;8:634338. doi: 10.3389/fvets.2021.634338. eCollection 2021.
6
Use of a Tri-Axial Accelerometer Can Reliably Detect Play Behaviour in Newborn Calves.使用三轴加速度计能够可靠地检测新生犊牛的玩耍行为。
Animals (Basel). 2020 Jul 5;10(7):1137. doi: 10.3390/ani10071137.