Daily variation in the udder surface temperature of dairy cows measured by infrared thermography: Potential for mastitis detection

2003 ◽  
Vol 83 (4) ◽  
pp. 687-693 ◽  
Author(s):  
R. J. Berry ◽  
A. D. Kennedy ◽  
S. L. Scott ◽  
B. L. Kyle ◽  
A. L. Schaefer
Keyword(s):  
Early Detection ◽  
Surface Temperature ◽  
Dairy Cows ◽  
Temperature Variation ◽  
Infrared Thermography ◽  
Environmental Temperature ◽  
Detection Method ◽  
Initial Assessment ◽  
Environment Temperature ◽  
Initial Objective

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

Udder skin surface temperature variation pre- and post- milking in dairy cows as determined by infrared thermography

2018 ◽  
Vol 85 (2) ◽  
pp. 201-203 ◽  
Author(s):  
Chunhe Yang ◽  
Gan Li ◽  
Xiaojun Zhang ◽  
Xianhong Gu
Keyword(s):  
Surface Temperature ◽  
Dairy Cows ◽  
Infrared Thermography ◽  
Sensitivity And Specificity ◽  
Milk Yield ◽  
Skin Surface ◽  
Optimal Time ◽  
Skin Surface Temperature ◽  
Infrared Images ◽  
Significant Difference

The objectives of the research reported in this Research Communication were to compare the variation of hind quarter skin surface temperature pre- and post- milking in dairy cows and to determine the optimal time to capture images by infrared thermography for improving the sensitivity and specificity of mastitis detection in dairy cows. Hind quarter infrared images of 102 Holstein dairy cows were captured from the caudal view by an infrared camera pre-milking and post-milking. The udder skin surface temperature was measured with the help of the image processing software. No significant difference was found between the left and right quarter skin surface temperature pre- and post- milking. The hind quarter skin surface temperature pre-milking was not significantly influenced by milk yield, but exhibited a rising trend along with the increase of milk yield. The hind quarter skin surface temperature post-milking was significantly influenced by milk yield. This leads us to conclude that the sensitivity and specificity of IRT in mastitis detection may be influenced by milk yield and it may be better to capture the infrared images of cow udders pre-milking.

The effect of environmental temperature variation, on milk yield and composition, in dairy cows

2015 ◽  
Vol 208 ◽  
pp. S39
Author(s):  
Gabriel Cotor ◽  
Gabriel Gâjâilă ◽  
Alexandru Bogdan Vitelaru ◽  
Marian Ghiţă ◽  
Cornel Brăslaşu
Keyword(s):  
Dairy Cows ◽  
Temperature Variation ◽  
Milk Yield ◽  
Environmental Temperature

A field trial of infrared thermography as a non-invasive diagnostic tool for early detection of digital dermatitis in dairy cows

2014 ◽  
Vol 199 (2) ◽  
pp. 281-285 ◽  
Author(s):  
M. Alsaaod ◽  
C. Syring ◽  
J. Dietrich ◽  
M.G. Doherr ◽  
T. Gujan ◽  
...  
Keyword(s):  
Early Detection ◽  
Dairy Cows ◽  
Infrared Thermography ◽  
Diagnostic Tool ◽  
Field Trial ◽  
Digital Dermatitis ◽  
Non Invasive

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 ◽  
...  
Keyword(s):  
Early Detection ◽  
Dairy Cows ◽  
Infrared Thermography ◽  
Short Communication

scholarly journals Infrared thermography: A potential noninvasive tool to monitor udder health status in dairy cows

2016 ◽  
Vol 9 (10) ◽  
pp. 1075-1081 ◽  
Author(s):  
M. Sathiyabarathi ◽  
S. Jeyakumar ◽  
A. Manimaran ◽  
G. Jayaprakash ◽  
Heartwin A. Pushpadass ◽  
...  
Keyword(s):  
Health Status ◽  
Dairy Cows ◽  
Infrared Thermography ◽  
Udder Health

scholarly journals 3D Thermal Monitoring of Jointed Rock Masses through Infrared Thermography and Photogrammetry

2021 ◽  
Vol 13 (5) ◽  
pp. 957
Author(s):  
Guglielmo Grechi ◽  
Matteo Fiorucci ◽  
Gian Marco Marmoni ◽  
Salvatore Martino
Keyword(s):  
Surface Temperature ◽  
Infrared Thermography ◽  
Point Cloud ◽  
Engineering Geology ◽  
Point Clouds ◽  
Jointed Rock ◽  
Geometric Accuracy ◽  
Rock Masses ◽  
Natural Systems ◽  
Temperature Distributions

The study of strain effects in thermally-forced rock masses has gathered growing interest from engineering geology researchers in the last decade. In this framework, digital photogrammetry and infrared thermography have become two of the most exploited remote surveying techniques in engineering geology applications because they can provide useful information concerning geomechanical and thermal conditions of these complex natural systems where the mechanical role of joints cannot be neglected. In this paper, a methodology is proposed for generating point clouds of rock masses prone to failure, combining the high geometric accuracy of RGB optical images and the thermal information derived by infrared thermography surveys. Multiple 3D thermal point clouds and a high-resolution RGB point cloud were separately generated and co-registered by acquiring thermograms at different times of the day and in different seasons using commercial software for Structure from Motion and point cloud analysis. Temperature attributes of thermal point clouds were merged with the reference high-resolution optical point cloud to obtain a composite 3D model storing accurate geometric information and multitemporal surface temperature distributions. The quality of merged point clouds was evaluated by comparing temperature distributions derived by 2D thermograms and 3D thermal models, with a view to estimating their accuracy in describing surface thermal fields. Moreover, a preliminary attempt was made to test the feasibility of this approach in investigating the thermal behavior of complex natural systems such as jointed rock masses by analyzing the spatial distribution and temporal evolution of surface temperature ranges under different climatic conditions. The obtained results show that despite the low resolution of the IR sensor, the geometric accuracy and the correspondence between 2D and 3D temperature measurements are high enough to consider 3D thermal point clouds suitable to describe surface temperature distributions and adequate for monitoring purposes of jointed rock mass.

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