An Investigation of Surface Temperature Effect on Estrus Detection of Dairy Cows using Supervised Learning-Reference-Cited by-同舟云学术

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An Investigation of Surface Temperature Effect on Estrus Detection of Dairy Cows using Supervised Learning

Published:2023-01-18 Issue: Volume: Page:
ISSN:
Container-title:2023 Third International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP)
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Author:

Wongvivatvaitaya Phongcharn¹,Boonto Sudchai²,Silapunt Rardchawadee¹

Affiliation:

1. Electronic and Telecommunication Engineering King Mongkut's University of Technology Thonburi,Bangkok,Thailand

2. Control System and Instrumentation Engineering King Mongkut's University of Technology Thonburi,Bangkok,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10044732/10044733/10044943.pdf?arnumber=10044943

Reference15 articles.

1. Estrous detection by continuous measurements of vaginal temperature and conductivity with supervised machine learning in cattle

2. Validation of a heart-rate monitor for measuring a stress response in dairy cows

3. Cow estrus detection with low-frequency accelerometer sensor by unsupervised learning

4. NB-IoT Estrus Detection System of Dairy Cows Based on LSTM Networks

5. Review: Behavioral Signs of Estrus and The Potential of Fully Automated Systems for Detection of Estrus in Dairy Cattle;reith;The Animal Consortium 2017 Giessen Germany,2017

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