首页|Evaluating machine learning algorithms to predict lameness in dairy cattle

Evaluating machine learning algorithms to predict lameness in dairy cattle

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-According to news reporting based on a preprint a bstract, our journalists obtained the following quote sourced from biorxiv.org: "Dairy cattle lameness represents one of the common concerns in intensive and co mmercial dairy farms. Lameness is characterized by gait-related behavioral chang es in cows and multiple approaches are being utilized to associate these changes with lameness conditions including data from accelerometers, and other precisio n technologies. The objective was to evaluate the use of machine learning algori thms for the identification of lameness conditions in dairy cattle. "In this study, 310 multiparous Holstein dairy cows from a herd in Northern Colo rado were affixed with a leg-based accelerometer (Icerobotics® Inc, Edinburg, Sc otland) to obtain the lying time (min/d), daily steps count (n/d), and daily cha nge (n/d). Subsequently, study cows were monitored for 4 months and cows submitt ed for claw trimming (CT) were differentiated as receiving corrective claw trimm ing (CCT) or as being diagnosed with a lameness disorder and consequent therapeu tic claw trimming (TCT) by a certified hoof trimmer. Cows not submitted to CT we re considered healthy controls.

AlgorithmsCyborgsEmerging Technologi esMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.3)