Early Detection of Mastitis by Using Infrared Thermography in Holstein-Friesian Dairy Cows Via Classification and Regression Tree (CART) Analysis
Abstract
Subclinical mastitis is an important udder disease that negatively affects both the animal health and reduces profitability in dairy farms. The increasing performance of thermal cameras over time and their usability in different areas increase their use in livestocks. Infrared thermography (IRT) technology is a noninvasive method that can estimate the surface temperature of objects. The objective of this study was to evaluate early detection of mastitis in Holstein-Friesian dairy cattle by using both udder surface temperatures (Tmax) from images obtained with the help of a FLIR One Pro thermal camera and some parameters such as Lab (CIE L*, a*, b*), HSB (Hue, Saturation, Brightness), RGB (Red, Green, Blue) by processing thermal images with the help of ImageJ program via classification and regression tree (CART) analysis. According to CMT by using CART analysis in this study, 64.9% of cows with udder surface temperature lower than 38.85 were healthy, and 73.3% of cows higher than 38.85 were determined as unhealthy. As for SCC, 77.6% of cows with udder surface temperature lower than 38.65 were healthy and 58.6% of cows with higher than 38.65 were determined as unhealthy. The areas under ROC (AUC) were found to be statistically significant in the diagnosis of subclinical mastitis. (P<0.01) The sensitivity and specificity of the CART algorithm for CMT and SHS diagnostic tests were 85.42%, 81.48% and 90.20%, 80.39%, respectively. There was no significant difference between SHS and CMT tests in the area under the ROC curve (P>0.05). As a result, IRT technology can be used as a useful diagnostic tool in the early detection of mastitis.
Keywords
Details
Primary Language
English
Subjects
Zootechny (Other)
Journal Section
Research Article
Publication Date
August 25, 2021
Submission Date
April 26, 2021
Acceptance Date
-
Published in Issue
Year 2021 Volume: 35 Number: 2
APA
Coşkun, G., & Aytekin, İ. (2021). Early Detection of Mastitis by Using Infrared Thermography in Holstein-Friesian Dairy Cows Via Classification and Regression Tree (CART) Analysis. Selcuk Journal of Agriculture and Food Sciences, 35(2), 118-127. https://izlik.org/JA53GE97WT
AMA
1.Coşkun G, Aytekin İ. Early Detection of Mastitis by Using Infrared Thermography in Holstein-Friesian Dairy Cows Via Classification and Regression Tree (CART) Analysis. Selcuk J Agr Food Sci. 2021;35(2):118-127. https://izlik.org/JA53GE97WT
Chicago
Coşkun, Gizem, and İbrahim Aytekin. 2021. “Early Detection of Mastitis by Using Infrared Thermography in Holstein-Friesian Dairy Cows Via Classification and Regression Tree (CART) Analysis”. Selcuk Journal of Agriculture and Food Sciences 35 (2): 118-27. https://izlik.org/JA53GE97WT.
EndNote
Coşkun G, Aytekin İ (August 1, 2021) Early Detection of Mastitis by Using Infrared Thermography in Holstein-Friesian Dairy Cows Via Classification and Regression Tree (CART) Analysis. Selcuk Journal of Agriculture and Food Sciences 35 2 118–127.
IEEE
[1]G. Coşkun and İ. Aytekin, “Early Detection of Mastitis by Using Infrared Thermography in Holstein-Friesian Dairy Cows Via Classification and Regression Tree (CART) Analysis”, Selcuk J Agr Food Sci, vol. 35, no. 2, pp. 118–127, Aug. 2021, [Online]. Available: https://izlik.org/JA53GE97WT
ISNAD
Coşkun, Gizem - Aytekin, İbrahim. “Early Detection of Mastitis by Using Infrared Thermography in Holstein-Friesian Dairy Cows Via Classification and Regression Tree (CART) Analysis”. Selcuk Journal of Agriculture and Food Sciences 35/2 (August 1, 2021): 118-127. https://izlik.org/JA53GE97WT.
JAMA
1.Coşkun G, Aytekin İ. Early Detection of Mastitis by Using Infrared Thermography in Holstein-Friesian Dairy Cows Via Classification and Regression Tree (CART) Analysis. Selcuk J Agr Food Sci. 2021;35:118–127.
MLA
Coşkun, Gizem, and İbrahim Aytekin. “Early Detection of Mastitis by Using Infrared Thermography in Holstein-Friesian Dairy Cows Via Classification and Regression Tree (CART) Analysis”. Selcuk Journal of Agriculture and Food Sciences, vol. 35, no. 2, Aug. 2021, pp. 118-27, https://izlik.org/JA53GE97WT.
Vancouver
1.Gizem Coşkun, İbrahim Aytekin. Early Detection of Mastitis by Using Infrared Thermography in Holstein-Friesian Dairy Cows Via Classification and Regression Tree (CART) Analysis. Selcuk J Agr Food Sci [Internet]. 2021 Aug. 1;35(2):118-27. Available from: https://izlik.org/JA53GE97WT