• 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

牛群追踪的技术与解决方案：技术现状综述

Technologies and Solutions for Cattle Tracking: A Review of the State of the Art.

作者信息

Montalván Saúl, Arcos Pablo, Sarzosa Pablo, Rocha Richard Alejandro, Yoo Sang Guun, Kim Youbean

机构信息

Smart Lab, Escuela Politécnica Nacional, Quito 170143, Ecuador.

Departamento de Informática y Ciencias de la Computación, Escuela Politécnica Nacional, Quito 170143, Ecuador.

出版信息

Sensors (Basel). 2024 Oct 9;24(19):6486. doi: 10.3390/s24196486.

DOI:10.3390/s24196486
PMID:39409526
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11479337/
Abstract

This article presents a systematic literature review of technologies and solutions for cattle tracking and monitoring based on a comprehensive analysis of scientific articles published since 2017. The main objective of this review is to identify the current state of the art and the trends in this field, as well as to provide a guide for selecting the most suitable solution according to the user's needs and preferences. This review covers various aspects of cattle tracking, such as the devices, sensors, power supply, wireless communication protocols, and software used to collect, process, and visualize the data. The review also compares the advantages and disadvantages of different solutions, such as collars, cameras, and drones, in terms of cost, scalability, precision, and invasiveness. The results show that there is a growing interest and innovation in livestock localization and tracking, with a focus on integrating and adapting various technologies for effective and reliable monitoring in real-world environments.

摘要

本文基于对2017年以来发表的科学文章的全面分析，对牛群跟踪与监测的技术和解决方案进行了系统的文献综述。本综述的主要目的是确定该领域的当前技术水平和趋势，并根据用户的需求和偏好提供选择最合适解决方案的指南。本综述涵盖了牛群跟踪的各个方面，如用于收集、处理和可视化数据的设备、传感器、电源、无线通信协议和软件。该综述还比较了不同解决方案（如项圈、摄像头和无人机）在成本、可扩展性、精度和侵入性方面的优缺点。结果表明，在牲畜定位和跟踪方面，人们的兴趣和创新不断增加，重点是整合和应用各种技术，以便在现实环境中进行有效和可靠的监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/f7badabdec8c/sensors-24-06486-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/75fdf7001b0a/sensors-24-06486-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/ccef6544f1ef/sensors-24-06486-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/f3b171c67e44/sensors-24-06486-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/a5eda2479fc3/sensors-24-06486-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/2b9b801f816b/sensors-24-06486-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/f3790fe9aafc/sensors-24-06486-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/0cebebd66381/sensors-24-06486-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/f7badabdec8c/sensors-24-06486-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/75fdf7001b0a/sensors-24-06486-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/ccef6544f1ef/sensors-24-06486-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/f3b171c67e44/sensors-24-06486-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/a5eda2479fc3/sensors-24-06486-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/2b9b801f816b/sensors-24-06486-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/f3790fe9aafc/sensors-24-06486-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/0cebebd66381/sensors-24-06486-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ca4/11479337/f7badabdec8c/sensors-24-06486-g008.jpg

相似文献

1
Technologies and Solutions for Cattle Tracking: A Review of the State of the Art.牛群追踪的技术与解决方案：技术现状综述
Sensors (Basel). 2024 Oct 9;24(19):6486. doi: 10.3390/s24196486.
2
LoRa Communications as an Enabler for Internet of Drones towards Large-Scale Livestock Monitoring in Rural Farms.LoRa 通信作为无人机物联网在农村农场大规模牲畜监测中的使能技术。
Sensors (Basel). 2021 Jul 26;21(15):5044. doi: 10.3390/s21155044.
3
Smart Home-based IoT for Real-time and Secure Remote Health Monitoring of Triage and Priority System using Body Sensors: Multi-driven Systematic Review.基于智能家居的物联网，利用身体传感器实现分诊和优先级系统的实时安全远程健康监测：多驱动系统评价。
J Med Syst. 2019 Jan 15;43(3):42. doi: 10.1007/s10916-019-1158-z.
4
Invited review: integration of technologies and systems for precision animal agriculture-a case study on precision dairy farming.特邀综述：精准动物农业的技术和系统集成——以精准奶牛养殖为例。
J Anim Sci. 2023 Jan 3;101. doi: 10.1093/jas/skad206.
5
A Low-Cost IoT-Based System to Monitor the Location of a Whole Herd.一种基于物联网的低成本系统，用于监测整个畜群的位置。
Sensors (Basel). 2019 May 18;19(10):2298. doi: 10.3390/s19102298.
6
Blockchain Protocols and Edge Computing Targeting Industry 5.0 Needs.面向工业5.0需求的区块链协议与边缘计算
Sensors (Basel). 2023 Nov 14;23(22):9174. doi: 10.3390/s23229174.
7
Application of Precision Technologies to Characterize Animal Behavior: A Review.应用精密技术表征动物行为：综述
Animals (Basel). 2024 Jan 27;14(3):416. doi: 10.3390/ani14030416.
8
Wireless Body Sensor Communication Systems Based on UWB and IBC Technologies: State-of-the-Art and Open Challenges.基于超宽带和互电容技术的无线体域传感器通信系统：现状与开放挑战。
Sensors (Basel). 2020 Jun 25;20(12):3587. doi: 10.3390/s20123587.
9
Threat Modeling for Communication Security of IoT-Enabled Digital Logistics.面向物联网数字物流通信安全的威胁建模
Sensors (Basel). 2023 Nov 29;23(23):9500. doi: 10.3390/s23239500.
10
High-precision tracking and positioning for monitoring Holstein cattle.荷斯坦奶牛的高精度跟踪和定位监测。
PLoS One. 2024 May 14;19(5):e0302277. doi: 10.1371/journal.pone.0302277. eCollection 2024.

引用本文的文献

1
Automatic cattle identification system based on color point cloud using hybrid PointNet++ Siamese network.基于使用混合PointNet++连体网络的彩色点云的自动牛识别系统。
Sci Rep. 2025 Jul 1;15(1):21938. doi: 10.1038/s41598-025-08277-8.
2
CFR-YOLO: A Novel Cow Face Detection Network Based on YOLOv7 Improvement.CFR-YOLO：一种基于YOLOv7改进的新型牛脸检测网络。
Sensors (Basel). 2025 Feb 11;25(4):1084. doi: 10.3390/s25041084.

本文引用的文献

1
Artificial Intelligence and Sensor Technologies in Dairy Livestock Export: Charting a Digital Transformation.人工智能和传感器技术在奶牛出口中的应用：开启数字化转型之路。
Sensors (Basel). 2023 Aug 9;23(16):7045. doi: 10.3390/s23167045.
2
Grazing-induced cattle behaviour modulates the secondary production in a Eurasian steppe ecosystem.放牧诱导的牛行为调节了欧亚草原生态系统的次级生产。
Sci Total Environ. 2023 Sep 1;889:164191. doi: 10.1016/j.scitotenv.2023.164191. Epub 2023 May 17.
3
Improved cattle behaviour monitoring by combining Ultra-Wideband location and accelerometer data.
通过结合超宽带定位和加速度计数据来改善牛只行为监测。
Animal. 2023 Apr;17(4):100730. doi: 10.1016/j.animal.2023.100730. Epub 2023 Feb 11.
4
Comparing State-of-the-Art Deep Learning Algorithms for the Automated Detection and Tracking of Black Cattle.比较用于黑牛自动检测与跟踪的先进深度学习算法。
Sensors (Basel). 2023 Jan 3;23(1):532. doi: 10.3390/s23010532.
5
Industry 4.0 and Precision Livestock Farming (PLF): An up to Date Overview across Animal Productions.工业 4.0 和精准畜牧业（PLF）：动物生产的最新综述
Sensors (Basel). 2022 Jun 7;22(12):4319. doi: 10.3390/s22124319.
6
Identification of discriminating behavioural and movement variables in lameness scores of dairy cows at pasture from accelerometer and GPS sensors using a Partial Least Squares Discriminant Analysis.利用偏最小二乘判别分析从加速度计和 GPS 传感器中识别牧场奶牛跛行评分的判别性行为和运动变量。
Prev Vet Med. 2021 Aug;193:105383. doi: 10.1016/j.prevetmed.2021.105383. Epub 2021 May 24.
7
A LoRa sensor network for monitoring pastured livestock location and activity.一种用于监测放牧牲畜位置和活动的LoRa传感器网络。
Transl Anim Sci. 2021 Jan 25;5(2):txab010. doi: 10.1093/tas/txab010. eCollection 2021 Apr.
8
Use of novel sensors combining local positioning and acceleration to measure feeding behavior differences associated with lameness in dairy cattle.使用新型传感器结合局部定位和加速度来测量与奶牛跛行相关的采食行为差异。
J Dairy Sci. 2018 Jul;101(7):6310-6321. doi: 10.3168/jds.2016-12172. Epub 2018 Apr 26.
9
Challenges to meat safety in the 21st century.21世纪肉类安全面临的挑战。
Meat Sci. 2008 Jan;78(1-2):3-13. doi: 10.1016/j.meatsci.2007.07.027. Epub 2007 Jul 28.