Classifying and Understanding of Dairy Cattle Health Using Wearable Inertial Sensors With Random Forest and Explainable Artificial Intelligence-Reference-Cited by-同舟云学术

Classifying and Understanding of Dairy Cattle Health Using Wearable Inertial Sensors With Random Forest and Explainable Artificial Intelligence

Published:2024-03 Issue:3 Volume:8 Page:1-4
ISSN:2475-1472
Container-title:IEEE Sensors Letters
language:
Short-container-title:IEEE Sens. Lett.

Author:

Shi Zhonghao¹^ORCID,Chang Fangyuan²^ORCID,Jia Yuanzheng³^ORCID,Li Jun¹^ORCID,Qiu Yawei⁴^ORCID,Miao Jinfeng⁴^ORCID,Jiang Wei³^ORCID,Guo Xiaojun¹^ORCID,Han Xiangan³^ORCID,Tang Wei¹^ORCID

Affiliation:

1. Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China

2. Department of Design, Shanghai Jiao Tong University, Shanghai, China

3. Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China

4. College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7782634/10423169/10414183.pdf?arnumber=10414183

Reference17 articles.

1. Economic benefits of animal tracing in the cattle production sector;Elbakidze;J. Agricultural Resource Econ.,2007

2. Major Advances in Disease Prevention in Dairy Cattle

3. Estimating the costs associated with endemic diseases of dairy cattle

4. Intelligent wearable devices and biosensors for monitoring cattle health conditions: A review and classification

5. IOT Based Monitoring System in Smart Agriculture

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