Recognising Cattle Behaviour with Deep Residual Bidirectional LSTM Model Using a Wearable Movement Monitoring Collar

Recognising Cattle Behaviour with Deep Residual Bidirectional LSTM Model Using a Wearable Movement Monitoring Collar

Cattle behaviour is a significant indicator of cattle welfare. With the advancements in electronic equipment, monitoring and classifying multiple cattle behaviour patterns is becoming increasingly important in precision livestock management. The aim of this study was to detect important cattle physi...

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Bibliographic Details
Main Authors: Yiqi Wu, Mei Liu, Zhaoyuan Peng, Meiqi Liu, Miao Wang, Yingqi Peng
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Agriculture
Subjects:
wearable sensor
behaviour pattern classification
cattle
bidirectional long short-term memory
recurrent neural network
inertial measurement unit
Online Access:https://www.mdpi.com/2077-0472/12/8/1237

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https://www.mdpi.com/2077-0472/12/8/1237

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