Preliminary applications of infrared thermography for detecting lameness in dairy cattle

Abstract This study investigated the potential use of infrared thermography (IRT) as a routine tool for the early diagnosis of laminitis in dairy cows, with a long-term goal of automating the method. The specific study objectives were as follows: (1) to establish any relationship between the maximum temperature (MT) of the coronary band and locomotion scores (LS); (2) to correlate the MT of different hoof regions (sole, interdigital space and coronary band) with lameness diseases; and (3) to assess whether parity influences hoof temperature. Thermal images of hind feet of 368 cows were captured with an infrared camera. Coronary band MTs were significantly higher in cows with LS ≥3 (cranial [CR] = 34.15 ± 2.07°C, caudal [CD] = 32.48 ± 3.02°C) than in cows with LS = 1 (CR = 32.13 ± 4.72°C, CD = 30.09 ± 5.81°C). Parity significantly influenced MTs, with lower temperatures recorded across all hoof regions in multiparous cows (≥3 calvings) than in primiparous cows. Additionally, hoof MTs were higher in cows with interdigital dermatitis (CR = 32.17 ± 2.24°C, CD = 30.66 ± 3.67°C, sole = 26.91 ± 2.48°C, interdigital space = 33.83 ± 2.40°C) than in healthy cows. These findings support the use of IRT to identify early signs of lameness and highlight the need for further research to enable automated thermographic monitoring in dairy herds.

Authors

Institutions

Publication Details

Journal
Annals of Animal Science
Published
2025-08-29
DOI
https://doi.org/10.2478/aoas-2025-0084
Primary Topic
Animal Behavior and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Preliminary applications of infrared thermography for detecting lameness in dairy cattle

Jacobo Álvarez, Uxía Yáñez, Juan José Becerra González, Ruperto González‐Pérez et al.
Annals of Animal Science
Animal Behavior and Welfare Studies
article

Preliminary applications of infrared thermography for detecting lameness in dairy cattle

Jacobo Álvarez, Uxía Yáñez, Juan José Becerra González, Ruperto González‐Pérez, Pedro J. García Herradón, Ana I. Peña, Luis Ángel Quintela Arias, L. Vidal, Antía Acción, Renato Barrionuevo, Raquel Holgado
article en

Abstract

Abstract This study investigated the potential use of infrared thermography (IRT) as a routine tool for the early diagnosis of laminitis in dairy cows, with a long-term goal of automating the method. The specific study objectives were as follows: (1) to establish any relationship between the maximum temperature (MT) of the coronary band and locomotion scores (LS); (2) to correlate the MT of different hoof regions (sole, interdigital space and coronary band) with lameness diseases; and (3) to assess whether parity influences hoof temperature. Thermal images of hind feet of 368 cows were captured with an infrared camera. Coronary band MTs were significantly higher in cows with LS ≥3 (cranial [CR] = 34.15 ± 2.07°C, caudal [CD] = 32.48 ± 3.02°C) than in cows with LS = 1 (CR = 32.13 ± 4.72°C, CD = 30.09 ± 5.81°C). Parity significantly influenced MTs, with lower temperatures recorded across all hoof regions in multiparous cows (≥3 calvings) than in primiparous cows. Additionally, hoof MTs were higher in cows with interdigital dermatitis (CR = 32.17 ± 2.24°C, CD = 30.66 ± 3.67°C, sole = 26.91 ± 2.48°C, interdigital space = 33.83 ± 2.40°C) than in healthy cows. These findings support the use of IRT to identify early signs of lameness and highlight the need for further research to enable automated thermographic monitoring in dairy herds.

Annals of Animal Science
Centro Tecnolóxico de Telecomunicacións de Galicia (ES), Universidade de Santiago de Compostela (ES)
“la Caixa” Foundation, Xunta de Galicia
Openalex Percentile: Top 75%
Animal Behavior and Welfare Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.