First Evaluation of Infrared Thermography as a Tool for the Monitoring of Udder Health Status in Farms of Dairy Cows

被引:59
|
作者
Zaninelli, Mauro [1 ]
Redaelli, Veronica [2 ]
Luzi, Fabio [2 ]
Bronzo, Valerio [2 ]
Mitchell, Malcolm [3 ]
Dell'Orto, Vittorio [4 ]
Bontempo, Valentino [4 ]
Cattaneo, Donata [4 ]
Savoini, Giovanni [4 ]
机构
[1] Univ Telemat San Raffaele Roma, Dept Human Sci & Qual Life Promot, Via Val Cannuta 247, I-00166 Rome, Italy
[2] Univ Milan, Dept Vet Med, Via Celoria 10, I-20133 Milan, Italy
[3] Scotlands Rural Coll, Anim & Vet Sci, Roslin Inst Bldg, Easter Bush EH25 9RG, Midlothian, Scotland
[4] Univ Milan, Dept Hlth Anim Sci & Food Safety VESPA, Via Celoria 10, I-20133 Milan, Italy
来源
SENSORS | 2018年 / 18卷 / 03期
关键词
dairy cow; udder health status; mastitis detection; infrared thermography; imaging analysis; ELECTRICAL-CONDUCTIVITY SIGNALS; SUBCLINICAL MASTITIS; MILK; TEMPERATURE; INDICATOR; SURFACE; SYSTEM; SENSOR;
D O I
10.3390/s18030862
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The aim of the present study was to test infrared thermography (IRT), under field conditions, as a possible tool for the evaluation of cow udder health status. Thermographic images (n. 310) from different farms (n. 3) were collected and evaluated using a dedicated software application to calculate automatically and in a standardized way, thermographic indices of each udder. Results obtained have confirmed a significant relationship between udder surface skin temperature (USST) and classes of somatic cell count in collected milk samples. Sensitivity and specificity in the classification of udder health were: 78.6% and 77.9%, respectively, considering a level of somatic cell count (SCC) of 200,000 cells/mL as a threshold to classify a subclinical mastitis or 71.4% and 71.6%, respectively when a threshold of 400,000 cells/mL was adopted. Even though the sensitivity and specificity were lower than in other published papers dealing with non-automated analysis of IRT images, they were considered acceptable as a first field application of this new and developing technology. Future research will permit further improvements in the use of IRT, at farm level. Such improvements could be attained through further image processing and enhancement, and the application of indicators developed and tested in the present study with the purpose of developing a monitoring system for the automatic and early detection of mastitis in individual animals on commercial farms.
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页数:12
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