• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.3
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• pp.247-257
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• 2020

Livestock epidemics, such as foot and mouth disease, are causing enormous economic losses due to their strong infectious power. Early detection of infectious diseases in livestock is very important, but it is difficult to diagnose early in individual farms, and there are frequent cases of transmission through inter-farm movement such as veterinarians and feeding vehicles. In this study, we studied the technology that enables rapid diagnosis without veterinarian farm visits and prevents further spread by automatically monitoring the body temperature of livestock using ubiquitous-based information and communication technology in the early stage of onset and sending it in real time. We have presented a technique for systematically managing livestock epidemics at the farm level, regional level, and national level by using the community mapping technique by using the remote medical treatment system linked to the automatically collected information. In this process, community mapping items for each step and stakeholders were derived for crowd sourcing based spatial information technology.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.335-343
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• 2019

Healthy living is an essential element of human happiness. Quality eating provides the basis for life, and the health of livestock, which provides meat and dairy products, has a direct impact on human health. In the case of calves, diarrhea is the cause of all diseases.In this paper, we use a sensor to measure calf 's biometric data to diagnose calf diarrhea. The collected biometric data is subjected to a preprocessing process for use as meaningful information. We measure calf birth history and calf biometrics. The ontology is constructed by inputting environmental information of housing and biochemistry, immunity, and measurement information of human body for disease management. We will build a knowledge base for predicting calf diarrhea by predicting calf diarrhea through logical reasoning. Predict diarrhea with the knowledge base on the name of the disease, cause, timing and symptoms of livestock diseases. These knowledge bases can be expressed as domain ontologies for parent ontology and prediction, and as a result, treatment and prevention methods can be suggested.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.217-224
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• 2016

As livestock diseases such as foot-and-mouth disease are highly infectious and likely to inflict nationwide damage, it is important to detect such diseases in advance. Infection of foot-and-mouth disease is determined in the field through examination of external symptoms such as rise in body temperature. However, as the disease is carried around initially by travelling veterinarians in some cases, it is critical to measure the body temperature of livestock to detect abnormal temperature pattern early on and transmit temperature reading data remotely to a veterinarian remotely to expedite decision. In this study, we have developed a telemedicine system designed to connect veterinarians and livestock farmers and measure the body temperature of Korean beef cattle with IR sensor module linked to ubiquitous ICT platform as a solution for controlling health conditions of Korean beef cattle and improving the efficiency of livestock farming operations at individual farm, regional, and national level by converging ubiquitous ICT platform and livestock farming practices. Successfully employing the state-of-the-art IT technologies of Korea, the system proposed herein is expected to make Korea's livestock farming industry more sustainable and help the nation to secure technological preeminence in the global livestock products market.