An adaptive pig face recognition approach using Convolutional Neural Networks

Published in Computers and Electronics in Agriculture, 2020

Recommended citation: Marsot, Mathieu and Mei, Jiangqiang and Shan, Xiaocai and Ye, Liyong and Feng, Peng and Yan, Xuejun and Li, Chenfan and Zhao, Yifan "An adaptive pig face recognition approach using Convolutional Neural Networks." Computers and Electronics in Agriculture. 1(1). https://www.sciencedirect.com/science/article/pii/S0168169920300673

In this paper, a novel framework composed of computer vision algorithms, machine learning and deep learning techniques is proposed to offer a relatively low-cost and scalable solution of pig recognition.

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Recommended citation:

@article{marsot2020adaptive,
  title={An adaptive pig face recognition approach using Convolutional Neural Networks},
  author={Marsot, Mathieu and Mei, Jiangqiang and Shan, Xiaocai and Ye, Liyong and Feng, Peng and Yan, Xuejun and Li, Chenfan and Zhao, Yifan},
  journal={Computers and Electronics in Agriculture},
  volume={173},
  pages={105386},
  year={2020},
  publisher={Elsevier}
}