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Real-time temperature monitoring for the early detection of mastitis in dairy cattle: Methods and case researches

2020/12/02

Real-time temperature monitoring for the early detection of mastitis in dairy cattle: Methods and case researches



Abstract

Mastitis commonly occurs in dairy cattle during lactation. This disease has huge effects on the productivity of dairy cattle and the profits of stock farms. Enhancing the efficiency of mastitis treatment begins with the early detection of the disease. The purpose of this research is early detection of mastitis by monitoring the pathogenesis of mastitis through real-time measurements of the rumen temperature by utilizing an ingestible bio-sensor. The ingestible bio-sensor used for this research is orally administered and settles in the rumen. This bio-sensor can measure the cattle's body temperature accurately without any interference from the ambient environment. Also, this method requires less labor and the cattle experience less stress. The measured body temperature data is collected and transmitted to a server for analysis to detect any abnormalities. We administered bio-sensors to 50 Holstein dairy cattle and monitored their rumen temperatures for six months by measuring the temperatures in 10-min intervals. The farm manager could receive mastitis alert messages through a mobile application when a rise in a cow’s body temperature was detected. In addition, the manager conducted daily CMT to diagnose any mastitis incidence. The study results showed 15 subclinical mastitis incidences including recurrences from 9 cows, with 14 alert messages sent from the body temperature monitoring system. The average temperature of high fever cases was 41.10 °C. And the temperature difference between the average temperature of the experimental animals and the highest temperature of mastitis afflicted animals was on average 2.42 °C which shows that mastitis is accompanied with a high rise in body temperature.


Keywords

Real-time monitoring, Rumen,  temperature, Mastitis, Dairy cattle, Bio-sensor



Computers and Electronics in Agriculture (Volume 162, July 2019, Pages 119-125)
https://www.sciencedirect.com/science/article/abs/pii/S0168169918308494?via%3Dihub

  
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