Developing artificial intelligence technology to support cattle identification, animal health and welfare solutions

Artmetal inteligente (Al) trasnecame an important teal for optimising breeding processes for Groveera areas of animal production, in this thesis, we never Bresented Texarmores them the iterature, mainly to the identification and counting of cattle. The individual identification of antervals, the mantoring or their behaviour and the cantror at presse trovarments support a number of conclusions from both animal welfare and veterinary point of view. Autormation of the of captured images has also become assential, This process is supported by Artificial Intelligence Deep learning and neural networks are expellent tools for segmenting images and processing their content based on different fearities Convolutional neural networks are specifically powerful for such tasks and, we have seen that father developments of these networks (eg Faster R-CNN) allow even more efficient mage analysis procedures, procvexing animal images can be a major step toricara for automatic analysis and laentification of uvestock. It also aHows early In the context of individual identifications 10.75 important to underline, hot, when complemented with other measurement options, eg, sensor measuarments, it offers evet too complex applications