Early Detection of Mastitis by Using Infrared Thermography in Holstein-Friesian Dairy Cows Via Classification and Regression Tree (CART) Analysis
Öz
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.
Anahtar Kelimeler
Ayrıntılar
Birincil Dil
İngilizce
Konular
Hayvansal Üretim (Diğer)
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
25 Ağustos 2021
Gönderilme Tarihi
26 Nisan 2021
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2021 Cilt: 35 Sayı: 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, ve 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 (01 Ağustos 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 ve 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, c. 35, sy 2, ss. 118–127, Ağu. 2021, [çevrimiçi]. Erişim adresi: 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 (01 Ağustos 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, ve 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, c. 35, sy 2, Ağustos 2021, ss. 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]. 01 Ağustos 2021;35(2):118-27. Erişim adresi: https://izlik.org/JA53GE97WT