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Automatic recognition of lactating sow postures by refined two-stream RGB-D faster R-CNN

  • Published:2020-01 Issue: Volume:189 Page:116-132
  • ISSN:1537-5110
  • Container-title:Biosystems Engineering
  • language:en
  • Short-container-title:Biosystems Engineering

Author:

Zhu Xunmu,Chen Changxin,Zheng Bin,Yang Xiaofan,Gan Haiming,Zheng Chan,Yang Aqing,Mao Liang,Xue Yueju

Funder

National Key Technology Research and Development Program of the Ministry of Science and Technology of China

Guangdong Province Science and Technology Planning

Guangzhou Municipal Science and Technology Planning

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference38 articles.

1. 3D object recognition using convolutional neural networks with transfer learning between input channels;Alexandre;Intelligent Autonomous System,2016

2. Sow and piglet productivity and sow reproductive performance in farrowing pens with temporary crating or farrowing crates on a commercial New Zealand pig farm;Chidgey;Livestock Science,2015

3. Lying down and rolling behaviour in sows in relation to piglet crushing;Damm;Applied Animal Behaviour Science,2005

4. Multimodal deep learning for robust RGB-D object recognition;Eitel,2015

5. The pascal visual object classes (VOC) challenge;Everingham;International Journal of Computer Vision,2010

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