Using the Footfall Sound of Dairy Cows for Detecting Claw Lesions.
Authors: Volkmann Nina, Kulig Boris, Kemper Nicole
Journal: Animals : an open access journal from MDPI
Summary
# Footfall Sound Analysis for Early Detection of Claw Lesions in Cattle Lameness remains a significant welfare challenge in dairy farming, yet early detection of claw disease is difficult without hands-on examination. Volkmann and colleagues developed an automated monitoring system using piezoelectric sensors to record footfall sounds as cows walked across a measurement zone, then correlated acoustic data with both locomotion scoring (three-point scale from non-lame to severely lame) and physical claw assessments by a professional hoof trimmer. Lame animals (LS3) and those with uneven gait (LS2) demonstrated substantially reduced walking speed compared to sound cows, whilst the standard deviation of volume (SDV)—a proxy for force generation in footsteps—proved particularly informative: cattle with non-infectious claw lesions produced significantly lower SDV readings than healthy animals or those with infectious conditions, suggesting heightened pain sensitivity alters weight-bearing mechanics. This finding supports the hypothesis that non-infectious lesions (digital dermatitis, sole ulcers, white line disease) cause sufficient discomfort to reduce the forceful impact of affected limbs. The technique shows promise as an objective, non-invasive screening tool for integrating into automated livestock monitoring systems, potentially enabling earlier intervention before clinical lameness becomes apparent to handlers.
Read the full abstract on PubMed
Practical Takeaways
- •Acoustic analysis of footfall patterns may enable early detection of claw lesions before clinical lameness becomes obvious to visual assessment
- •The observation that non-infectious lesions show different sound signatures than infectious lesions suggests this technology could help differentiate lesion types for targeted treatment
- •Automated footfall sound monitoring could improve welfare management in high-volume dairy operations by enabling rapid, objective screening of multiple animals
Key Findings
- •Walking speed was significantly higher in non-lame cows (LS1) compared to lame cows (LS2 and LS3), indicating smoother gait patterns
- •Standard deviation of volume (SDV) in footfall sound was lower in cows with non-infectious claw lesions compared to healthy cows and those with infectious claw diseases
- •Non-infectious claw lesions correlate with reduced force in footsteps, suggesting increased pain sensitivity in affected cows
- •Footfall sound analysis using piezoelectric sensors shows potential as an automated diagnostic tool for claw lesion detection