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http://dx.doi.org/10.6109/jkiice.2017.21.10.1898

Prediction of Calf Diseases using Ontology and Bayesian Network  

Kang, Yun-Jeong (Computer and Software Engineering, College of Engineering, Wonkwang University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.21, no.10, 2017 , pp. 1898-1908 More about this Journal
Abstract
Accurately Diagnosing and managing disease in livestock can help sustainable livestock productivity and maintain human health. Maintaining the health of livestock is an important part of human health. The prediction of calf diseases is carried out by pre-processing the calf biometric data. calf information is used as information for calf birth history, calf biometric information, environmental information on housing, and disease management. It can be developed as an ontology and used as a knowledge base. The Bayesian network was used and inferred in the process of analyzing the correlations of calf diseases. Prediction of diseases based on knowledge of calf disease on calf diseases name, causes, occur timing, care and symptoms, etc., will be able to respond to accurate disease treatment and prevent other livestock from being infected in advance.
Keywords
Knowledge Representation; Ontology; Bayesian Network; Livestock Disease Prediction; Calf Disease Prediction;
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