Internet-of- Things Behavior Monitoring System Based on Wearable Inertial Sensors for Classifying Dairy Cattle Health Using Machine Learning-Reference-Cited by-同舟云学术

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Internet-of- Things Behavior Monitoring System Based on Wearable Inertial Sensors for Classifying Dairy Cattle Health Using Machine Learning

Published:2023-09-12 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
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Author:

Shi Zhonghao¹,Zhang Zi'Ang¹,Jia Yuanzheng²,Li Jun¹,Wang Xinyue¹,Qiu Yawen³,Miao Jinfeng³,Chang Fangyuan⁴,Han Xiangan²,Tang Wei¹

Affiliation:

1. Shanghai Jiao Tong University,Department of Electronic Engineering,Shanghai,China,200240

2. Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences,Shanghai,China,200241

3. College of Veterinary Medicine, Nanjing Agricultural University,Nanjing,China,210095

4. Shanghai Jiao Tong University,Department of Design,Shanghai,China,200240

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10291172/10291205/10291766.pdf?arnumber=10291766

Reference19 articles.

1. Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems

2. Application of accelerometers to record drinking behaviour of beef cattle

3. Determination of lying behavior patterns in healthy beef cattle by use of wireless accelerometers

4. In-situ classification of cattle behavior using accelerometry data

5. Monitoring and classification of cattle behavior: a survey

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