Abstract
In order to meet the needs of ranchers and grassland livestock management departments for the visualization of grazing behavior, this study develops a statistical and visual platform for herd trajectory. The Web AppBuilder for ArcGIS and ArcGIS Online were used to implement statistics and visualization of herd trajectories. The walking speed, walking trajectory and feed intake of the herd were calculated by the GP service on the server. The calculation results were published to the ArcGIS online platform. The relevant information was analyzed and displayed by Web AppBuilder for ArcGIS calling the data on ArcGIS Online. This platform achieved the visualization function of walking speed, walking trajectory and feed intake of the herd. It can provide technical support and data support for relevant management departments to monitor grazing information and study the living habits of herds.
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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., Wang, Q., Yan, T., Wang, J., Bing, W. (2020). Grazing Trajectory Statistics and Visualization Platform Based on Cloud GIS. 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_23
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DOI: https://doi.org/10.1007/978-3-030-48513-9_23
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