Implementation of water quality management platform for aquaculture based on big data









Abstract

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.


Modules


Algorithms


Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL