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Automated, real-time monitoring of bird and flock movement and behaviour - Phase 1

Full Report
  • Publication
  • Organisation The University of Technology Sydney, Herd Health Pty Ltd.
  • Researchers Jian Zhang, Richard Shepard

This project successfully produced the components needed to develop a remote monitoring system for laying hens. Further research is being done develop the system to the farm-ready stage.

In this proof-of-concept study, researchers used artificial intelligence and machine learning to create a system which can recognise various hen behaviours, based on real-time video footage. 

Phase two of this research project has now been completed. You can read the Final Project Report for phase 2 here. 

The below video provides an overview of the project from the lead researcher and project epidemiologist. 

Research Project Update

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