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This research project focuses on enhancing livestock traceability through the development of a non-invasive, AI-driven identification system for cattle.
Building on the TRAKKA project and supported by Food Agility CRC, the system uses advanced computer vision techniques to recognise individual cattle based on their unique muzzle prints, offering a high-accuracy alternative to traditional methods like ear tagging and branding.
The model has been validated using images from the Charles Sturt University digital farm and publicly available datasets, achieving 98.9% detection accuracy. Current research explores few-shot learning approaches to improve model training efficiency and adaptability.
The project aims to deliver a real-time, scalable solution for livestock management.
Food Agility CRC
In progress.
