Research project Welfare Improving monitoring Solutions for cHickens
General introduction
AI combined with machine learning and sensor technology can be used to optimize welfare and productivity standards for broiler chickens. That is a result of the WISH project. The project developed a modular toolbox that collects and analyzes behavioral information of chickens. This toolbox benefits both laboratory research and commercial poultry farmers, providing insights that replace manual observations with objective, continuous monitoring. The collaboration with Poulpharm and Roxell in this project may assure that the new capabilities will be applied in research environments as well as commercial poultry systems.
Research approach
These were the phases of the project: Chicken behavior was monitored with sensors (acoustic, visual and individual sensor technology). Advanced algorithms characterized chicken behavior and performed health and productivity analysis with machine learning. Lighting and resting locations were adjusted in real time based on behavioral data within a dynamic house design. The development of toolkits created a high-end version for laboratories and a cost-effective version for commercial poultry farmers. Valorization was important as well, as the companies involved worked to commercialize the results: Poulpharm targeted research organizations, while Roxell will market the toolbox for farmers.
Relevance/Valorization
The toolkits developed in this project provide tangible benefits to the poultry industry by improving chicken health and welfare while minimizing productivity losses. In laboratory environments, the advanced toolbox provides reliable behavioral information that makes animal testing more objective. For commercial farmers, the cost-effective version provides a practical solution to monitor group behavior and support management decisions. In collaboration with commercial partners, these innovations can be widely implemented, contributing to more sustainable and ethical poultry farming.
Financing
IMEC
