Odour Based Selective Recognition of Veterinary Diseases
Our goal is to improve the health and welfare of poultry by early detection of diseases using advanced sensor technologies. By utilizing an electronic nose system, we can quickly and accurately identify health issues, leading to better interventions and reduced antibiotic use.
The OBSeRVeD project focuses on developing an innovative sensor system that detects volatile organic compounds (VOCs) associated with common poultry diseases. Our multidisciplinary team of scientists and industrial partners is working together to realize and implement this technology on poultry farms.
Our Goals
- Early Disease Detection: Develop a reliable and cost-effective sensor system for early detection of diseases such as intestinal issues and red mite infestations.
- Improved Animal Welfare: Reduce the use of antibiotics and chemical treatments through timely and targeted interventions.
- Sustainable Agriculture: Promote sustainable production methods and reduce the ecological
footprint of poultry farms.
How It Works
Our sensor system utilizes advanced technologies such as:
- Electronic Nose: Detects specific VOCs produced by sick animals.
- Advanced Data Analysis: Machine learning algorithms analyze the data to make accurate diagnoses.
- User-Friendly Interface: Farmers and veterinarians can easily access data and alerts via an online platform.
Partners and Collaboration
The OBSeRVeD project is supported by a consortium of leading universities, research institutions, and industrial partners, including:
- Saxion University of Applied Sciences
- Utrecht University
- Wageningen University & Research
- University of Twente
- Delft University of Technology
- Radboud University
- Fontys University of Applied Sciences
- The Hague University of Applied Sciences