文献类型：会议论文

英文题名：Implementation of water quality management platform for aquaculture based on big data

作者：Peng, Zhibin[1]; Chen, Yuefeng[1]; Zhang, Zehong[1]; Qiu, Queling[1]; Han, Xiaoqiang[1]

机构：[1] Faculty of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang, China

会议论文集：Proceedings - 2020 International Conference on Computer Information and Big Data Applications, CIBDA 2020

会议日期：April 17, 2020 - April 19, 2020

会议地点：Guiyang, Guizhou, China

语种：英文

外文关键词：Big data - Automation - Quality management - Water conservation - Agriculture - Water management - Water quality - Aquaculture - Visualization

外文摘要：In order to ensure the quality and quantity of aquaculture, aquaculture farmers need to grasp the water quality in time. However, most farmers have to collect water quality data manually at present, and cannot store and reuse that information rapidly. This paper aims to use SpringBoot framework and JPA framework to build a big data platform of acquisition automation and visualization, which realizes the data analysis and display of heterogeneous water quality and breeding information. The platform can make the water quality prediction and real-time warning. Meanwhile, it realizes the management of robots, users and breeding experts. The application of this platform will bring better social benefits to aquaculture farmers. ? 2020 IEEE.