Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications. 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019

Research Article

Cloud Grazing Management and Decision System Based on WebGIS

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  • @INPROCEEDINGS{10.1007/978-3-030-48513-9_34,
        author={Dong Li and Chuanjian Wang and Tianying Yan and Qilei Wang and Ju Wang and Wanlong Bing},
        title={Cloud Grazing Management and Decision System Based on WebGIS},
        proceedings={Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications. 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019},
        proceedings_a={CLOUDCOMP},
        year={2020},
        month={6},
        keywords={WebGIS Grazing management Monitor Perception Cognition},
        doi={10.1007/978-3-030-48513-9_34}
    }
    
  • Dong Li
    Chuanjian Wang
    Tianying Yan
    Qilei Wang
    Ju Wang
    Wanlong Bing
    Year: 2020
    Cloud Grazing Management and Decision System Based on WebGIS
    CLOUDCOMP
    Springer
    DOI: 10.1007/978-3-030-48513-9_34
Dong Li, Chuanjian Wang,*, Tianying Yan1, Qilei Wang1, Ju Wang1, Wanlong Bing1
  • 1: Shihezi University
*Contact email: wcj_inf@shzu.edu.cn

Abstract

In order to improve the information level of animal husbandry and solve the problems of unreasonable utilization of grassland resources, this study was based on 3S technology, making full use of the advantages of GIS information processing and Cloud computing resources. A cloud grazing management and decision system based on WebGIS was developed. The system took the mainstream Web browser as the client platform. The functions of displaying the real-time position of the herd, querying historical trajectory, monitoring grassland growth and estimating situation of grassland utilization were achieved by the system. For the server side, the spatial management technology of spatial data engine ArcSDE and SQL Server 2012 was applied to store data. Tomcat 7.0 was used as the Web server and ArcGIS Server 10.3 was used as GIS Server. The automation of data processing was realized by calling ArcPy package through Python script. The results were published automatically to the ArcGIS Server for client display. The system can provide decision-making basis for ranchers and grassland livestock management departments to manage grazing and grassland. It enables ranchers to make reasonable and effective grazing plans, so as to make balanced utilization of grassland resources and promote the sustainable development of grazing animal husbandry.