Recognition of aggressive episodes of pigs based on convolutional neural network and long short-term memory-Reference-Cited by-同舟云学术

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Recognition of aggressive episodes of pigs based on convolutional neural network and long short-term memory

Published:2020-02 Issue: Volume:169 Page:105166
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Chen Chen,Zhu Weixing,Steibel Juan,Siegford Janice,Wurtz Kaitlin,Han Junjie,Norton Tomas

Funder

National Institute of Food and Agriculture

China Scholarship Council

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference30 articles.

1. Network characteristics and development of social structure of agonistic behaviour in pigs across three repeated rehousing and mixing events;Büttner;Appl. Animal Behav. Sci.,2015

2. Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification;Banerjee;Artif. Intell. Med.,2019

3. Image motion feature extraction for recognition of aggressive behaviours among group-housed pigs;Chen;Comput. Electron. Agric.,2017

4. A kinetic energy model based on machine vision for recognition of aggressive behaviours among group-housed pigs;Chen;Livestock Science,2018

5. Detection of aggressive behaviours in pigs using a RealSence depth sensor;Chen;Comput. Electron. Agric.,2019

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