• 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

用于监测和分析小腿行为的可穿戴相机评估:一项初步研究。

Evaluation of Wearable Cameras for Monitoring and Analyzing Calf Behavior: A Preliminary Study.

作者信息

Saitoh Tomoko, Kato Yuko

机构信息

Field Center of Animal Science and Agriculture, Obihiro University of Agriculture and Veterinary Medicine, Obihiro 080-8555, Japan.

出版信息

Animals (Basel). 2021 Sep 7;11(9):2622. doi: 10.3390/ani11092622.

DOI:10.3390/ani11092622
PMID:34573586
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8470911/
Abstract

Understanding cattle behavior is important for discerning their health and management status. However, manual observations of cattle are time-consuming and labor-intensive. Moreover, during manual observations, the presence or position of a human observer may alter the normal behavior of the cattle. Wearable cameras are small and lightweight; therefore, they do not disturb cattle behavior when attached to their bodies. Thus, this study aimed to evaluate the suitability of wearable cameras for monitoring and analyzing cattle behavior. From December 18 to 27, 2017, this study used four 2-month-old, group-housed Holstein calves at the Field Science Center of the Obihiro University of Agriculture and Veterinary Medicine, Japan. Calf behavior was recorded every 30 s using a wearable camera (HX-A1H, Panasonic, Japan) from 10:00 to 15:30 and observed directly from 11:00 to 12:00 and 14:00 to 15:00. In addition, the same observer viewed the camera recordings corresponding to the direct observation periods, and the results were compared. The correlation coefficients of all behavioral data from direct and wearable camera video observations were significant ( < 0.01). We conclude that wearable cameras are suitable for observing calf behavior, particularly their posture (standing or lying), as well as their ruminating and feeding behaviors.

摘要

了解牛的行为对于判断它们的健康和管理状况很重要。然而,对牛进行人工观察既耗时又费力。此外,在人工观察期间,人类观察者的存在或位置可能会改变牛的正常行为。可穿戴式摄像头体积小、重量轻;因此,将它们附着在牛身上时不会干扰牛的行为。因此,本研究旨在评估可穿戴式摄像头用于监测和分析牛行为的适用性。2017年12月18日至27日,本研究在日本带广畜产大学田间科学中心使用了4头2月龄、群居的荷斯坦犊牛。从10:00至15:30,使用可穿戴式摄像头(HX-A1H,松下,日本)每30秒记录一次犊牛行为,并在11:00至12:00以及14:00至15:00进行直接观察。此外,同一名观察者查看了与直接观察期相对应的摄像头记录,并对结果进行了比较。直接观察和可穿戴式摄像头视频观察的所有行为数据的相关系数均具有显著性(<0.01)。我们得出结论,可穿戴式摄像头适用于观察犊牛行为,特别是它们的姿势(站立或躺卧)以及反刍和进食行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/204d/8470911/52be68729840/animals-11-02622-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/204d/8470911/4324d1b86232/animals-11-02622-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/204d/8470911/9a4d7cff853f/animals-11-02622-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/204d/8470911/01e24cfd986a/animals-11-02622-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/204d/8470911/52be68729840/animals-11-02622-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/204d/8470911/4324d1b86232/animals-11-02622-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/204d/8470911/9a4d7cff853f/animals-11-02622-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/204d/8470911/01e24cfd986a/animals-11-02622-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/204d/8470911/52be68729840/animals-11-02622-g004.jpg

相似文献

1
Evaluation of Wearable Cameras for Monitoring and Analyzing Calf Behavior: A Preliminary Study.用于监测和分析小腿行为的可穿戴相机评估:一项初步研究。
Animals (Basel). 2021 Sep 7;11(9):2622. doi: 10.3390/ani11092622.
2
Technical note: The use of an accelerometer for measuring step activity and lying behaviors in dairy calves.技术说明:使用加速度计测量犊牛的步数活动和躺卧行为。
J Dairy Sci. 2016 Nov;99(11):9109-9113. doi: 10.3168/jds.2016-11297. Epub 2016 Sep 7.
3
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.
4
The effect of individual versus pair housing of dairy heifer calves during the preweaning period on measures of health, performance, and behavior up to 16 weeks of age.在哺乳期前阶段,将奶牛犊牛进行单独或成对饲养对其健康、性能和行为的影响,直至 16 周龄。
J Dairy Sci. 2021 Mar;104(3):3495-3507. doi: 10.3168/jds.2020-18928. Epub 2020 Dec 25.
5
Graduate Student Literature Review: Evaluating the appropriate use of wearable accelerometers in research to monitor lying behaviors of dairy cows.研究生文献综述:评估可穿戴加速度计在研究中监测奶牛躺卧行为的适当使用。
J Dairy Sci. 2020 Dec;103(12):12140-12157. doi: 10.3168/jds.2019-17887. Epub 2020 Oct 15.
6
Technical note: An evaluation of technology-recorded rumination and feeding behaviors in dairy heifers.技术说明:对奶牛育成牛的反刍和采食行为的技术记录评估。
J Dairy Sci. 2019 Jul;102(7):6555-6558. doi: 10.3168/jds.2018-15635. Epub 2019 May 23.
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
Repeated ruminal acidosis challenges in lactating dairy cows at high and low risk for developing acidosis: feeding, ruminating, and lying behavior.对处于发生酸中毒高风险和低风险的泌乳奶牛反复进行瘤胃酸中毒挑战:采食、反刍和躺卧行为
J Dairy Sci. 2009 Oct;92(10):5067-78. doi: 10.3168/jds.2009-2102.
9
Automated wearable cameras for improving recall of diet and time use in Uganda: a cross-sectional feasibility study.自动化可穿戴相机在改善乌干达饮食和时间使用回忆方面的应用:一项横断面可行性研究。
Nutr J. 2023 Jan 12;22(1):7. doi: 10.1186/s12937-022-00828-3.
10
Technical note: Evaluation of a triaxial accelerometer for monitoring selected behaviors in dairy calves.技术说明:评估三轴加速度计在监测奶牛犊牛选定行为中的应用。
J Dairy Sci. 2018 Nov;101(11):10421-10427. doi: 10.3168/jds.2018-14720. Epub 2018 Aug 23.

引用本文的文献

1
A systematic review on the application of precision livestock farming technologies to detect lying, rest and sleep behavior in dairy calves.关于精准畜牧养殖技术在检测奶牛犊躺卧、休息和睡眠行为方面应用的系统综述。
Front Vet Sci. 2024 Dec 23;11:1477731. doi: 10.3389/fvets.2024.1477731. eCollection 2024.
2
Multiview Monitoring of Individual Cattle Behavior Based on Action Recognition in Closed Barns Using Deep Learning.基于深度学习的封闭牛舍中个体牛行为动作识别的多视角监测
Animals (Basel). 2023 Jun 17;13(12):2020. doi: 10.3390/ani13122020.

本文引用的文献

1
Automated Monitoring of Panting for Feedlot Cattle: Sensor System Accuracy and Individual Variability.育肥牛喘气的自动监测:传感器系统的准确性和个体差异
Animals (Basel). 2020 Aug 27;10(9):1518. doi: 10.3390/ani10091518.
2
Using advanced technologies to quantify beef cattle behavior.运用先进技术量化肉牛行为。
Transl Anim Sci. 2018 Feb 23;2(2):223-229. doi: 10.1093/tas/txy004. eCollection 2018 Apr.
3
A Machine Vision-Based Method for Monitoring Scene-Interactive Behaviors of Dairy Calf.一种基于机器视觉的奶牛犊场景交互行为监测方法。
Animals (Basel). 2020 Jan 22;10(2):190. doi: 10.3390/ani10020190.
4
Identification of the Rumination in Cattle Using Support Vector Machines with Motion-Sensitive Bolus Sensors.利用运动敏感式瘤胃流量计和支持向量机识别反刍牛。
Sensors (Basel). 2019 Mar 7;19(5):1165. doi: 10.3390/s19051165.
5
Dairy cattle behavior classifications based on decision tree learning using 3-axis neck-mounted accelerometers.基于使用三轴颈部佩戴式加速度计的决策树学习的奶牛行为分类。
Anim Sci J. 2019 Apr;90(4):589-596. doi: 10.1111/asj.13184. Epub 2019 Feb 17.
6
TECHNICAL NOTE: Development of a pressure sensor-based system for measuring rumination time in pre-weaned dairy calves.技术说明:一种基于压力传感器的系统,用于测量未断奶奶牛犊反刍时间。
J Anim Sci. 2018 Nov 21;96(11):4483-4489. doi: 10.1093/jas/sky337.
7
Technical note: Validation of an ear-tag accelerometer sensor to determine rumination, eating, and activity behaviors of grazing dairy cattle.技术说明:一种耳标加速度传感器用于确定放牧奶牛反刍、采食和活动行为的验证。
J Dairy Sci. 2018 Mar;101(3):2492-2495. doi: 10.3168/jds.2016-12534. Epub 2017 Dec 28.
8
Technical note: The use of an accelerometer for measuring step activity and lying behaviors in dairy calves.技术说明:使用加速度计测量犊牛的步数活动和躺卧行为。
J Dairy Sci. 2016 Nov;99(11):9109-9113. doi: 10.3168/jds.2016-11297. Epub 2016 Sep 7.
9
Lameness Detection in Dairy Cows: Part 2. Use of Sensors to Automatically Register Changes in Locomotion or Behavior.奶牛跛行检测:第2部分。使用传感器自动记录运动或行为变化。
Animals (Basel). 2015 Aug 28;5(3):861-85. doi: 10.3390/ani5030388.
10
Technical note: Accuracy of an ear tag-attached accelerometer to monitor rumination and feeding behavior in feedlot cattle.技术说明:用于监测饲养场牛反刍和采食行为的耳标附着式加速度计的准确性
J Anim Sci. 2015 Jun;93(6):3164-8. doi: 10.2527/jas.2014-8802.