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Detection of sick broilers by digital image processing and deep learning

  • Published:2019-03 Issue: Volume:179 Page:106-116
  • ISSN:1537-5110
  • Container-title:Biosystems Engineering
  • language:en
  • Short-container-title:Biosystems Engineering

Author:

Zhuang Xiaolin,Zhang Tiemin

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

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

Reference40 articles.

1. Tensorflow: Large-scale machine learning on heterogeneous distributed systems;Abadi,2016

2. Image analysis method to evaluate beak and head motion of broiler chickens during feeding;Abdanan Mehdizadeh;Computers and Electronics in Agriculture,2015

3. Using 3D vision camera system to automatically assess the level of inactivity in broiler chickens;Aydin;Computers and Electronics in Agriculture,2017

4. Using sound technology to automatically detect the short-term feeding behaviours of broiler chickens;Aydin;Computers and Electronics in Agriculture,2016

5. Application of a fully automatic analysis tool to assess the activity of broiler chickens with different gait scores;Aydin;Computers and Electronics in Agriculture,2010

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