亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

An Intelligent Edge-IoT Platform With Deep Learning for Body Condition Scoring of Dairy Cow

物联网 计算机科学 GSM演进的增强数据速率 边缘计算 人工智能 深度学习 计算机安全
作者
Junhao Wang,Baisheng Dai,Li Yang,Yong-Qiang He,Yukun Sun,Weizheng Shen
出处
期刊:IEEE Internet of Things Journal [Institute of Electrical and Electronics Engineers]
卷期号:11 (10): 17453-17467 被引量:1
标识
DOI:10.1109/jiot.2024.3357862
摘要

Body condition score (BCS) of dairy cows is the direct reflection of their nutritional status. The timely estimation of BCS is beneficial to improving dairy cow health, milk production and reproduction. In this work, we propose an intelligent Edge-IoT platform with deep learning for estimating BCS of dairy cow, by integrating inference capability of deep learning and low latency of edge computing in IoT framework. Through capturing images of dairy cow's back with the RGB-D camera, inference module deployed in the edge computing device firstly performs cow detection to localize the separate area of each dairy cow, and then performs individual identification and estimating BCS of dairy cows simultaneously. The existing systems are mainly commercial systems such as DeLaval and HerdVision, they use electronic ear tags with radio-frequency identification sensors for cow identification. Compared to existing systems, in the proposed platform, combined the finetuned YOLOv7 model and Avoid Repeated Inference (ARI) algorithm to detect dairy cow. An EfficientID model combined with metric learning is designed for cow identification, and an EfficientBCS model with Coordinate Attention (CA) is proposed for estimating BCS. The dairy cow's identity (ID) and BCS are finally transmitted to the cloud analysis center. Experimental results show that the accuracy of estimating BCS reached 85% within 0.5 range error conducted on the test set collected in the dairy farm. The total inference time for one dairy cow is 3.138 seconds. Results show that the platform can be served as an excellent application of dairy cow body condition scoring.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
47秒前
领导范儿应助科研通管家采纳,获得10
47秒前
52秒前
juan完成签到 ,获得积分10
1分钟前
学术小垃圾完成签到,获得积分10
2分钟前
叁月二完成签到 ,获得积分10
2分钟前
2分钟前
科研通AI2S应助科研通管家采纳,获得10
2分钟前
大模型应助科研通管家采纳,获得10
2分钟前
xingsixs完成签到 ,获得积分10
3分钟前
AprilLeung完成签到 ,获得积分10
4分钟前
4分钟前
深情安青应助科研通管家采纳,获得10
4分钟前
迷茫的一代完成签到,获得积分10
5分钟前
魔笛的云宝完成签到 ,获得积分10
5分钟前
www完成签到,获得积分10
5分钟前
6分钟前
NexusExplorer应助科研通管家采纳,获得10
6分钟前
Akitten发布了新的文献求助10
7分钟前
啥时候吃火锅完成签到 ,获得积分0
8分钟前
上官若男应助科研通管家采纳,获得30
8分钟前
斯文败类应助科研通管家采纳,获得10
8分钟前
李爱国应助科研通管家采纳,获得10
8分钟前
科研通AI2S应助科研通管家采纳,获得10
8分钟前
赘婿应助科研通管家采纳,获得10
8分钟前
田様应助精明晓刚采纳,获得10
8分钟前
9分钟前
精明晓刚发布了新的文献求助10
9分钟前
科研通AI2S应助科研通管家采纳,获得10
10分钟前
coolplex完成签到 ,获得积分10
10分钟前
wwe完成签到,获得积分10
11分钟前
貔貅完成签到 ,获得积分10
11分钟前
yindi1991完成签到 ,获得积分10
14分钟前
hgl完成签到,获得积分10
14分钟前
14分钟前
科研通AI2S应助科研通管家采纳,获得10
14分钟前
14分钟前
华仔应助精明晓刚采纳,获得10
15分钟前
15分钟前
15分钟前
高分求助中
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3990423
求助须知:如何正确求助?哪些是违规求助? 3532158
关于积分的说明 11256513
捐赠科研通 3271046
什么是DOI,文献DOI怎么找? 1805207
邀请新用户注册赠送积分活动 882302
科研通“疑难数据库(出版商)”最低求助积分说明 809234