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Livestock visualization project: Using spatial and spectral images to determine calf growth and performance

There is a need for an improved method of data collection on calf growth and body condition, as this data is useful for making informed breeding decisions. To better improve the data collection process, this project is developing and validating a touch-less automated visualization method for determining calf growth and condition that collects and analyzes growth data. A prototype is currently being developed which will take visual images and other spectral data, automating the process of collecting calf growth data, reducing the current labour-intensive methods that are currently being employed.


Principal investigator: Medhat Moussa