Possibility of Early Detection of Bovine Mastitis in Dairy Cows Using Thermal Images Processing
محورهای موضوعی : Camel
م.ر. گلزاریان
1
(Department of Biosystems Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran)
ح. سلطانعلی
2
(Department of Biosystems Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran)
ا. دوستی ایرانی
3
(Department of Biosystems Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran)
س.ه. ابراهیمی
4
(Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran)
کلید واژه: somatic cell count, animal health, bovine mastitis, California mastitis test, thermal image,
چکیده مقاله :
Bovine mastitis (BM) is a prevalent condition on dairy farms, affecting both livestock health and reducing profitability. This study investigated the feasibility of diagnosing BM in Holstein dairy cattle using thermography. To increase the detection between healthy cattle and unhealthy one and to better compare the results from thermal images, a number of parameters including somatic cell count (SCC) and California mastitis test (CMT) were adopted. The result of non-parametric Spearman's Rho test showed that there was aninverse correlation (R=-0.97) between SSC factor and milk production records. Bovine Mastitis diagnosis results obtained from processing thermal images showed that the average temperature difference between unhealthy and healthy tissues was 0.44 ˚C. The detection accuracy of this method was 57.3%. The results from processing the thermal images showed that the thermal imaging camera was able to detect small temperature difference on the skin sometimes due to the effects of factors, such as non-uniform light irradiation and the presence or absence of hair or skin lesions on udder surface, which are not necessarily the studied factors. Therefore, it is suggested that parameters such as udder’s touching to groin, hair on udder, reduced light effect and skin lesions in order to improve the precision in the thermographic diagnosis of BM also be controlled future studies.
بیماری ورم پستان دام به ­عنوان یکی از شایع­ترین بیماری­ها در واحدهای پرورش گاو شیری مطرح می­باشد که از یکسو سلامتی دام­ها را تحت شعاع قرار داده و از سوی دیگر منجر به کاهش پویایی تولید محصولات لبنی شده است. از این ­رو هدف از این مطالعه بررسی تشخیص بیماری ورم پستان در گاوهای شیری با نژاد هلشتاین با استفاده از پردازش تصاویر گرمایی بود. به­ منظور قابلیت تفکیک‌پذیری دام­ها و مقایسه بهتر نتایج حاصل از نقشه­های گرمایی، فاکتورهای چون میزان شیردهی، تعداد سلول­های سوماتیک و نیز تست ورم پستان کالیفرنیایی به عنوان مرجع آزمایش در نظر گرفته شدند. نتایج حاصل از روش همبستگی اسپیرمن نشان داد که یک رابطه معکوسی (97/0R=) بین سلول­های سوماتیک و مقادیر شیر ثبت شده وجود دارد. نتایج قابلیت تشخیص بیماری با کمک پردازش نقشه­های گرمایی حاکی از آن بود که میانگین اختلافات دمایی بین بافت سالم و غیرسالم در پستان دام­ها برابر 44/0 درجه سانتی­گراد بوده است. به ­عبارتی دقت تشخیص این روش برابر 3/57 درصد به دست آمد. به منظور نتایج بهتر حاصل از روش پردازش تصاویر گرمایی، مدیریت پارامترهایی چون کنترل اثرات منفی تابش نور، عدم وجود مو و کرک در ناحیه پستان دام، کنترل دما در ناحیه اتصال پستان با پای دام و مدیریت زایدات پوست، در مطالعات آتی پیشنهاد گردید.
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