Next Level Animal Sciences: data and models
The rapid developments in sensor and imaging technology make larger and more complex datasets from different sources available. The challenge is to convert this data into useful information on animals' behaviour, health, and well-being.
Within the data and models research trajectory of the Next Level Animal Sciences programme, we work on developing and unlocking topical knowledge in the domain of analysis of transmitter data, mechanistic modelling, automatic pattern recognition and complex data analysis.
The research trajectory data and models includes:
- Advanced analysis of data on healthy animals
- Case studies in the field of complex data analysis and sensor data (including that of animals kept in barn systems)
- Case studies on mechanistic modelling for, among others, fisheries and marine mammals, with a focus on developing new software tools
- Courses and networking to make the newly acquired knowledge and tools in the field of machine learning methods and automatic pattern recognition widely available and accessible to researchers
View the examples below:
Showcases
Projects
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Modelling stem cell behaviour during planarian regeneration
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Automated radio telemetry methods to uncover the social lives of birds
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Transmission of digital dermatitis in dairy cattle
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Opening the black box: Machine learning for Next-Level Animal Science
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Facial skin temperature and other measurements of emotions in pigs
Video's
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How do we use data from 500 cows?
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Tracking cows to improve health