Araştırma Makalesi
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Early Detection of Mastitis by Using Infrared Thermography in Holstein-Friesian Dairy Cows Via Classification and Regression Tree (CART) Analysis

Yıl 2021, Cilt: 35 Sayı: 2, 118 - 127, 25.08.2021

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.

Yıl 2021, Cilt: 35 Sayı: 2, 118 - 127, 25.08.2021

Öz

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Ayrıntılar

Birincil Dil İngilizce
Konular Hayvansal Üretim (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Gizem Coşkun Bu kişi benim

İbrahim Aytekin Bu kişi benim

Yayımlanma Tarihi 25 Ağustos 2021
Gönderilme Tarihi 26 Nisan 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 35 Sayı: 2

Kaynak Göster

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.

Selcuk Journal of Agriculture and Food Sciences Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı (CC BY NC) ile lisanslanmıştır.