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Research Platform:

Precision Phenotyping

Bridging Pig Breeding and Human Health with CT Data

From big data to deeper insight 

 

Precision Phenotyping platform uses advanced technologies, such as CT scanning and sensors for automated data collection to improve data collection and develop novel traits for pig breeding.  

Artificial intelligence (AI) is central to this platform, enabling the analysis of large, complex, multi-dimensional datasets that are challenging to interpret using traditional methods. 

This data fuels better prediction models and selection decisions that increase genetic progress in traits like carcass quality, nutrient efficiency and robustness. 

Turning complex biology into measurable traits 

Future breeding goals should include development of multiple aspects of physiology, robustness and behavior, and in many cases the ability to measure relevant traits becomes a limiting factor for genetic progress. The Precision Phenotyping Platform addresses this by testing out new sensors of relevance, while building systems for storage, structuring and processing of data.  

AI-driven analytics play a key role in this process, by translating continuous streams of sensor, video, and biological data into robust, standardized phenotypes that can be used in genetic evaluation. 

Further viable systems are put in production for automated capture of high-resolution data and translation into actionable phenotypes for selection. 

Platform Lead

Platform Lead

Øyvind Nordbø, PhD

PhD in Biological Physics

Developing novel relevant traits for pig breeding from complex data sources.
Works at the interface of genetics, phenotyping and AI.

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