“…The use of electronic tags, which would allow identification of individual pigs, and the rapid development in image analysis or machine learning, show promise in improving traceability and could allow automated data recording for pig health and welfare at high line speeds [57,58]. Automated detection of different lesions at MI is a promising new approach in research which is being currently being investigated for a variety of indicators such as lung, heart, liver, skin, ear and tail lesions as well as bursitis [38,[59][60][61]. Ideally, this would allow integration and detailed recording of different indicators including but not limited to carcass condemnations, viscera condemnations, viscera lesions (e.g., lung lesions, gastric ulcers, milk spot), carcass lesions (e.g., tail lesions, skin lesions, loin bruising, ear lesions) or physiological measurements (e.g., blood lactate, creatine kinase, haptoglobin) in future MI systems to provide information on pig health and welfare [6,13,47,58,62,63].…”