Detecting diseases in farm animals with embedded system

Authors:
Jingyu Zhang;Rafael Calvo;Richard Shephard;Craig Jin
Affiliations:
School of Electrical and Information Engineering, The University of Sydney, NSW, Australia;School of Electrical and Information Engineering, The University of Sydney, NSW, Australia;School of Electrical and Information Engineering, The University of Sydney, NSW, Australia;School of Electrical and Information Engineering, The University of Sydney, NSW, Australia
Venue:
CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
Year:
2007

Citing 6
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Abstract

Veterinary epidemiology is a rapidly developing science. A key factor for success is the ease of data capture. However, real-time data collection is quite hard because in many such systems, users must return to the home or office to import the data to computer or fill a paper-based data entry form. This paper presents an embedded application system for animal disease report and Surveillance system in Veterinary Science which provides real-time Surveillance and allows instant analysis. Using the system, users can access user-friendly software to help diagnose diseases or problems in herds. It designed to deliver benefits to producers, veterinarians, animal health workers, stock agents, government departments and the beef industry.