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.
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Acknowledgments
We highly appreciate the Yang Yonglin of the Xinjiang Academy of Agricultural Reclamation and the pastoralists of Ziniquan farm, who participated in the GPS trajectory data collection and shared their knowledge on herd. We are thankful to all the professional GIS technicians, graduate students and undergraduates who contributed to the development of this system. We are grateful for the thoughtful and constructive comments of the reviewers that improved this manuscript in major ways.
Funding
This work was supported by the National Key R&D Program of China (Grant No. 2017YFB0504203), the National Natural Science Foundation of China (Grant No. 41461088, and the XJCC XPCC Innovation Team of Geospatial Information Technology (Grant No. 2016AB001).
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Li, D., Wang, C., Yan, T., Wang, Q., Wang, J., Bing, W. (2020). Cloud Grazing Management and Decision System Based on WebGIS. In: Zhang, X., Liu, G., Qiu, M., Xiang, W., Huang, T. (eds) Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications. CloudComp SmartGift 2019 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-030-48513-9_34
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DOI: https://doi.org/10.1007/978-3-030-48513-9_34
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