| Issue |
E3S Web Conf.
Volume 189, 2020
2020 International Conference on Agricultural Science and Technology and Food Engineering (ASTFE 2020)
|
|
|---|---|---|
| Article Number | 02020 | |
| Number of page(s) | 5 | |
| Section | Food Biochemistry and Food Processing | |
| DOI | https://doi.org/10.1051/e3sconf/202018902020 | |
| Published online | 15 September 2020 | |
Design of Visual Platform for Fisheries and Aquaculture Production Based on Geographic Information System Technologies
1
Chinese Academy of Fishery Sciences, Information Technology Research Center, 100141 Beijing, China
2
Chinese Academy of Sciences, National Science Library, 100190 Beijing, China
3
University of Chinese Academy of Sciences, Department of Library, Information and Archives Management, 100190 Beijing, China
* Corresponding author: sunyz@cafs.ac.cn
With the deterioration of ecological environment and the increasing demand for aquatic products, the development of fishing remains seriously threatened from various aspects, especially for production planning and control in particular place and time. Therefore, this technical paper develops a visual platform based on Geographic Information System (GIS) aim to help managers formulate sensible policy with the intention of achieving sustainable fisheries development. The key design of this system lies in the association of attribute database and GIS technologies referring to the Leftlet map. There are mainly two contributions in this article: (i) the visualizations of aquaculture production quantity are first proposed according to the geographical location and species category; (ii) system provides the superior results of statistical analysis on user interface due to the technical processing on data association and light or color intensities presentations. Furthermore, the web service is constructed and extended on the principles of the Browser/Server (B/S) architecture whose purpose is to reach efficiency of exploitation and operations.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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