scholarly journals Short Communication: Early Detection of Mastitis Using Infrared Thermography in Dairy Cows

2008 ◽  
Vol 91 (11) ◽  
pp. 4244-4248 ◽  
Author(s):  
A. Colak ◽  
B. Polat ◽  
Z. Okumus ◽  
M. Kaya ◽  
L.E. Yanmaz ◽  
...  
2005 ◽  
Vol 88 (8) ◽  
pp. 2749-2753 ◽  
Author(s):  
A. Nikkhah ◽  
J.C. Plaizier ◽  
M.S. Einarson ◽  
R.J. Berry ◽  
S.L. Scott ◽  
...  

2014 ◽  
Vol 199 (2) ◽  
pp. 281-285 ◽  
Author(s):  
M. Alsaaod ◽  
C. Syring ◽  
J. Dietrich ◽  
M.G. Doherr ◽  
T. Gujan ◽  
...  

2003 ◽  
Vol 83 (4) ◽  
pp. 687-693 ◽  
Author(s):  
R. J. Berry ◽  
A. D. Kennedy ◽  
S. L. Scott ◽  
B. L. Kyle ◽  
A. L. Schaefer

The daily and within-day variation in udder temperature was monitored in dairy cows (n = 10) using infrared thermography (IRT). The initial assessment and prediction of udder surface temperature variation would hopefully form the basis for future development of an early detection method for mastitis. Our initial objective was to determine the magnitude and pattern of udder temperature variation. To accomplish this, we measured daily fluctuations in udder temperature and the influence of environmental factors upon these values in non-mastitic cows. Udder temperature rose significantly after an exercise period (P < 0.05). Within-day monitoring of udder temperature demonstrated there was a distinct circadian rhythm. Lag regression analysis showed that previous daily udder temperatures together with environmental temperature parameters could successfully predict current udder temperature with a high degree of accuracy. The variation between predicted and actual udder temperature was within the detectable range for an inflammatory response. Infrared thermography shows promise in its application if coupled with environmental temperature monitoring as an early detection method for mastitis. Key words: Thermography, dairy cattle, environment, temperature


2016 ◽  
Vol 9 (10) ◽  
pp. 1075-1081 ◽  
Author(s):  
M. Sathiyabarathi ◽  
S. Jeyakumar ◽  
A. Manimaran ◽  
G. Jayaprakash ◽  
Heartwin A. Pushpadass ◽  
...  

Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 980
Author(s):  
Hang Shu ◽  
Wensheng Wang ◽  
Leifeng Guo ◽  
Jérôme Bindelle

In pursuit of precision livestock farming, the real-time measurement for heat strain-related data has been more and more valued. Efforts have been made recently to use more sensitive physiological indicators with the hope to better inform decision-making in heat abatement in dairy farms. To get an insight into the early detection of heat strain in dairy cows, the present review focuses on the recent efforts developing early detection methods of heat strain in dairy cows based on body temperatures and respiratory dynamics. For every candidate animal-based indicator, state-of-the-art measurement methods and existing thresholds were summarized. Body surface temperature and respiration rate were concluded to be the best early indicators of heat strain due to their high feasibility of measurement and sensitivity to heat stress. Future studies should customize heat strain thresholds according to different internal and external factors that have an impact on the sensitivity to heat stress. Wearable devices are most promising to achieve real-time measurement in practical dairy farms. Combined with internet of things technologies, a comprehensive strategy based on both animal- and environment-based indicators is expected to increase the precision of early detection of heat strain in dairy cows.


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