A new study is looking into the use of machine learning to detect sheep diseases using CT scans. Machine learning has been used to instantly detect and distinguish important traits such as muscle and fat percentage as well as removing some of the initial image editing steps including removal of the cradle that holds the sheep during the CT scan. It has been observed that machine learning allowed unseen images to be handled with a 98% accuracy. This new innovative technology could help speed up disease detection within sheep and help with detection of invisible diseases.
Follow the link below for the full article:
FarmingUK: Machine learning could quicken sheep disease detection