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C3D-ConvLSTM based cow behaviour classification using video data for precision livestock farming

  • Published:2022-02 Issue: Volume:193 Page:106650
  • ISSN:0168-1699
  • Container-title:Computers and Electronics in Agriculture
  • language:en
  • Short-container-title:Computers and Electronics in Agriculture

Author:

Qiao Yongliang,Guo Yangyang,Yu Keping,He Dongjian

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

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

Reference46 articles.

1. Classification of dairy cows’ behavior by energy-efficient sensor. Journal of Reliable Intelligent;Achour;Environments,2021

2. Development of an open-source algorithm based on inertial measurement units (imu) of a smartphone to detect cattle grass intake and ruminating behaviors;Andriamandroso;Computers and electronics in agriculture,2017

3. In-situ classification of cattle behavior using accelerometry data;Arablouei;Computers and Electronics in Agriculture,2021

4. How multirobot systems research will accelerate our understanding of social animal behavior;Balch;Proc. IEEE,2006

5. On the use of on-cow accelerometers for the classification of behaviours in dairy barns;Benaissa;Research in veterinary science,2019

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