Sensor analytics can facilitate to advance our current knowledge of animal behaviours and disease.
Improved knowledge of animal health will facilitate in future management decisions and help to reduce costs associated with disease.
With improved knowledge of animal behaviours and monitoring systems, farmers can future proof their stock by enhanced understanding and business decisions.
Machine learning engines can provide analysis of animal data beyond our capabilities.
Researchers can enhance our knowledge of animal health monitoring with machine learning and sensor intelligence to improve time efficiencies in farm management.
Informed business decisions can be made with increased abilities of animal behaviour monitoring analytics with machine learning.
Animal sensors allows for easy surveillance of animal health without the need for human intervention and can aid researchers in identifying early signs of disease.
Consumers are constantly demanding higher welfare standards are met. With true AI, researchers can collect vital information on animals' behaviours indicative of their welfare and feedback to the community.
We can gain insights never thought possible. With feature extraction and prediction capabilities, researchers can explore deeper into animal behaviours.