ISCF WAVE 1 AGRI TECH: Early Detection of Lameness in Dairy Cows through Multi-format Data Synthesis

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Lameness in dairy cattle is increasingly recognised as a growing and significant economic and welfare problem in dairy nations around the world. Lameness remains at unacceptably high levels amongst the UK's 1.8 million dairy cattle; recent work suggests that approximately one in three cows are identifiably lame on any given day. Research has indicated that very early detection and treatment of lameness substantially reduces the prevalence of lameness which leads to increased milk production as well as enhanced cow welfare. Very early detection of lameness is difficult and technologies to identify the pre-clinical stages of disease would dramatically advance this area. The aim of this research is to synthesis data from multiple sources, including state-of-the-art thermography, activity/location monitoring and rumination sensors, to accurately predict pre-clinical onset of lameness in dairy cows such that early stage interventions are possible.