A XGBoost-Based Prediction Method for Meat Sheep Transport Stress Using Wearable Photoelectric Sensors and Infrared Thermometry

A XGBoost-Based Prediction Method for Meat Sheep Transport Stress Using Wearable Photoelectric Sensors and Infrared Thermometry

Transportation pressure poses a serious threat to the health of live sheep and the quality of their meat. So, the edible Hu sheep was chosen as the research object for meat sheep. We constructed a systematic biosignal detecting, processing, and modeling method. The biosignal sensing was performed wi...

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Bibliographic Details
Main Authors: Ruiqin Ma, Runqing Chen, Buwen Liang, Xinxing Li
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
meat sheep
transport stress
biosensing
wearable IoT
machine learning
Online Access:https://www.mdpi.com/1424-8220/24/23/7826
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