Abstract
This paper is a cattle barn management system based on thermal imaging data. This system is for recognizing the condition of livestock and the changes in environment by utilizing thermal imaging data and sensor data, as well as for automatically controlling the optimal growth environment and diagnosing early livestock diseases by analyzing and utilizing the data collected. Accordingly, the system has been composed into Physical layer, middleware, cattle barn control part and web-GUI. The thermal imaging data & Physical layer collects in realtime livestock condition data and cattle barn data, and the middleware manages the collected data. In addition, the cattle barn control part manages with intelligence any occurrence of livestock and cattle barn abnormalities. Lastly, the system provides the service of allowing user to remotely monitor cattle barn environment through the web-GUI.
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References
Hong, S.-G.: A Concept Model for Digitalized Animal Disease Control System. Department of Knowledge Management Graduate School of Information Science Soongsil University (2009)
Ministry for Food, Agriculture, Forestry and Fisheries; Food, Agriculture, Forestry and Fisheries Statistical Year Book (2008)
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© 2011 Springer-Verlag Berlin Heidelberg
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Lee, Jw., Hwang, Jh., Yoe, H. (2011). Design of Cattle Barn Management System Based on Thermal Imaging Data. In: Kim, Th., et al. Future Generation Information Technology. FGIT 2011. Lecture Notes in Computer Science, vol 7105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27142-7_17
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DOI: https://doi.org/10.1007/978-3-642-27142-7_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27141-0
Online ISBN: 978-3-642-27142-7
eBook Packages: Computer ScienceComputer Science (R0)