首页|Study Results from University of Liverpool Provide New Insights into Artificial Intelligence (Automated Dairy Cattle Lameness Detection Utilizing the Power of A rtificial Intelligence; Current Status Quo and Future Research Opportunities)
Study Results from University of Liverpool Provide New Insights into Artificial Intelligence (Automated Dairy Cattle Lameness Detection Utilizing the Power of A rtificial Intelligence; Current Status Quo and Future Research Opportunities)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Artificial Intelligence. According to news reporting out of Liverpool, United Ki ngdom, by NewsRx editors, research stated, “Lameness represents a major welfare and health problem for the dairy industry across all farming systems. Visual mob ility scoring, although very useful, is labour-intensive and physically demandin g, especially in large dairies, often leading to inconsistencies and inadequate uptake of the practice.” Our news journalists obtained a quote from the research from the University of L iverpool, “Technological and computational advancements of artificial intelligen ce (AI) have led to the development of numerous automated solutions for livestoc k monitoring. The objective of this study was to review the automated systems us ing AI algorithms for lameness detection developed to-date. These systems rely o n gait analysis using accelerometers, weighing platforms, acoustic analysis, rad ar sensors and computer vision technology. The lameness features of interest, th e AI techniques used to process the data as well as the ground truth of lameness selected in each case are described. Measures of accuracy regarding correct cla ssification of cows as lame or non-lame varied with most systems being able to c lassify cows with adequate reliability. Most studies used visual mobility scorin g as the ground truth for comparison with only a few studies using the presence of specific foot pathologies. Given the capabilities of AI, and the benefits of early treatment of lameness, longitudinal studies to identify gait abnormalities using automated scores related to the early developmental stages of different f oot pathologies are required.”
LiverpoolUnited KingdomEuropeArtif icial IntelligenceEmerging TechnologiesMachine LearningUniversity of Liver pool
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