Challenge 5. Livestock: Behavioural Analysis, Management, and Environmental Impact

Specific Challenge

Monitoring food intake, growth, behaviour, and wellbeing is an important task for every farmer engaged in animal husbandry. Early detection of illnesses, other afflictions and contact tracing is key in administering precise medication and disease prevention. Since round-the-clock human supervision is not possible for larger numbers of animals, intelligent systems for monitoring livestock based on video and other sensor data need to be developed. In addition, livestock farmers need to address the increasing demand for data related to the environmental impact of their operations.  


  • Develop intelligent systems for real-time sensor data analysis of livestock
  • Enable integration of smart solutions or equipment into the ATLAS interoperability network.
  • Provide early warning systems for animal diseases and dangerous or harmful animal behaviours.
  • Help farmers monitor and predict the growth of their animals.
  • Develop solutions that support environmental reporting on livestock operations.

Resources provided by ATLAS

  • Access to RGB-camera streams from pigsties and poultry coops at participating ATLAS pilot sites.
  • Access to the pilot sites themselves in order to test your solution and cooperate closely with the associated farmers.

Expected outcome

  • A software solution or web-based service that addresses the problem within the scope outlined above.
  • Significant reduction in the average number of antibiotics and other medications administered to each animal.
  • Overall improvements in animal health and wellbeing thanks to early detection of diseases and dangerous behaviours.
  • The proposed solution should make use of at least one of the following technologies: edge computing, robotics & ROS, and in-barn sensors.