Forest Cows Secrets: Cracking the Code With Movement Sensors

Laura J. Niccolai, Saskia H. Wulff, E. Versluijs, Mélanie Spedener, Barbara Zimmermann, Anna Hessle, M. Tofastrud, Olivier Devineau, Alina L. Evans
{"title":"Forest Cows Secrets: Cracking the Code With Movement Sensors","authors":"Laura J. Niccolai, Saskia H. Wulff, E. Versluijs, Mélanie Spedener, Barbara Zimmermann, Anna Hessle, M. Tofastrud, Olivier Devineau, Alina L. Evans","doi":"10.3389/frym.2024.1305706","DOIUrl":null,"url":null,"abstract":"Have you ever wondered how we can watch animals in the wild without actually being near them? In Norway, cows roam freely in the deep forest during summer. While the cows enjoy the freedom, it can be tricky to keep them safe from carnivores like wolves and bears, as no shepherds or dogs protect the herds. Keeping an eye on the cows is important! Farmers and researchers use GPS to track animals, just as we do for phones or cars. However, GPS does not tell us much about what the animals are doing. That is where movement sensors come in. These sensors store information about the tiniest body movements and reveal what the animal is doing at any time. Is the cow’s head up or down? Is it walking or running? Based on the data, we could distinguish 20 different behaviors! Now we can spy on cows, see what they are up to in the forest, and help farmers better care for them.","PeriodicalId":73060,"journal":{"name":"Frontiers for young minds","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers for young minds","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/frym.2024.1305706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Have you ever wondered how we can watch animals in the wild without actually being near them? In Norway, cows roam freely in the deep forest during summer. While the cows enjoy the freedom, it can be tricky to keep them safe from carnivores like wolves and bears, as no shepherds or dogs protect the herds. Keeping an eye on the cows is important! Farmers and researchers use GPS to track animals, just as we do for phones or cars. However, GPS does not tell us much about what the animals are doing. That is where movement sensors come in. These sensors store information about the tiniest body movements and reveal what the animal is doing at any time. Is the cow’s head up or down? Is it walking or running? Based on the data, we could distinguish 20 different behaviors! Now we can spy on cows, see what they are up to in the forest, and help farmers better care for them.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
森林奶牛的秘密用运动传感器破解密码
您是否想过,我们是如何在不靠近动物的情况下观看野生动物的?在挪威,奶牛夏天可以在深山老林里自由漫步。虽然奶牛们很享受这种自由,但由于没有牧羊人或狗来保护牛群,要保证它们不受狼和熊等食肉动物的伤害却很困难。密切关注牛群非常重要!牧场主和研究人员使用 GPS 跟踪动物,就像我们使用手机或汽车一样。然而,GPS 并不能告诉我们动物在做什么。这就是运动传感器的用武之地。这些传感器能存储最细微的肢体动作信息,随时显示动物在做什么。牛是抬头还是低头?它是在行走还是在奔跑?根据这些数据,我们可以分辨出 20 种不同的行为!现在,我们可以监视奶牛,了解它们在森林中的活动,帮助农民更好地照顾它们。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
What If We Could Swallow Medicines Instead of Needing Painful Injections? Why Robots Should Grow Like Vines Resilience—The Ability to Bounce Back! The Tiny Brains of Wasps Can Learn and Remember Information Protecting Earth’s Irreplaceable Species—The Time is Now!
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1