Research and Design of Shandong Province Animal Epidemic Prevention System Based on GIS

Abstract : Animal husbandry has become one of the important pillars of agricultural economy. In the meantime, along with the rapid development of animal husbandry, all kinds of animal disease hazardous to health of livestock and poultry appear, such as High Pathogenic Avian Influenza (HPAI) and Foot and Mouth Disease (FMD). Therefore, establishment of animal epidemic prevention system is very necessary. Geographic Information System (GIS) has been widely used both in the field of disease control and prevention and livestock and poultry epidemic prevention for its strong ability of spatial analysis and visualization analysis. Despite all this, provincial livestock and poultry epidemic prevention system based on GIS is rare. To obtain animal epidemic information accurately and timely, and improve the mechanism of animal outbreaks, combing with the reality of Shandong province, an animal epidemic prevention and early warning forecast system is developed. The purpose of the system, the system structure, function module, and development platform are analyzed. Combined with GIS, handheld mobile GIS/GPS, and GPRS/CDMA, the system has proved its flexibility, stability, convenience, and easy extensibility, assuring effective implementation of animal epidemic monitoring.
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Communication dans un congrès
9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-479 (Part II), pp.570-578, 2016, Computer and Computing Technologies in Agriculture IX. 〈10.1007/978-3-319-48354-2_59〉
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Jiabo Sun, Wenjie Feng, Xiaoyan Zhang, Luyan Niu, Yanzhong Liu. Research and Design of Shandong Province Animal Epidemic Prevention System Based on GIS. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-479 (Part II), pp.570-578, 2016, Computer and Computing Technologies in Agriculture IX. 〈10.1007/978-3-319-48354-2_59〉. 〈hal-01614176〉

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