Development of an Early Diagnostic Device for African Swine Fever through Real-time Temperature Monitoring Ear-tags (RTMEs)
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Throughout the 20th century, the transition of pig farms from extensive to intensive commercial operations amplified the risk of diseasetransmission, particularly involving African swine fever (ASF). Real-time temperature monitoring systems have emerged as essentialtools for early ASF diagnosis. In this paper, we introduce new real-time temperature monitoring ear tags (RTMEs) modeled afterexisting ear tag designs. Our crafted Pig-Temp platforms have three primary advantages. First, they can be effortlessly attached to pigears, ensuring superior compatibility. Second, they enable real-time temperature detection, and the data can be displayed on a personalcomputer or smartphone application. Furthermore, they demonstrate excellent measurement accuracy, ranging from 98.9% to 99.8% attemperatures between 2.2 and360o C. A linear regression approach enables fever symptoms associated with ASF to be identified within3 min using RTMEs. The communication range extends to approximately 12 m (452m2 ), enabling measurements from an estimated75 to 2,260 pigs per gateway. These newly developed Pig-Temp platforms offer singifcant enhancement of early ASF detection.
Abstract
Throughout the 20th century, the transition of pig farms from extensive to intensive commercial operations amplified the risk of diseasetransmission, particularly involving African swine fever (ASF). Real-time temperature monitoring systems have emerged as essentialtools for early ASF diagnosis. In this paper, we introduce new real-time temperature monitoring ear tags (RTMEs) modeled afterexisting ear tag designs. Our crafted Pig-Temp platforms have three primary advantages. First, they can be effortlessly attached to pigears, ensuring superior compatibility. Second, they enable real-time temperature detection, and the data can be displayed on a personalcomputer or smartphone application. Furthermore, they demonstrate excellent measurement accuracy, ranging from 98.9% to 99.8% attemperatures between 2.2 and360o C. A linear regression approach enables fever symptoms associated with ASF to be identified within3 min using RTMEs. The communication range extends to approximately 12 m (452m2 ), enabling measurements from an estimated75 to 2,260 pigs per gateway. These newly developed Pig-Temp platforms offer singifcant enhancement of early ASF detection.
참고문헌 (11)
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