different information database integration, pond aquaculture as the underlying data source realize the
management information, and improve the management level and efficiency.
Secondly, the dynamic monitoring system is more comprehensive, specific and scientific. Due to choosing
the appropriate development platform, the system can be seamless integration, data transfer and sharing
among various modules.
Again, WebGIS can visually show the user the desired results, and it allows users to more fully understand
one pond disaster situation, provides help for further prevention and control measures. But because of the
pond aquaculture monitoring and prediction model of knowledge, the collection and arrangement of difficulty,
system including pond aquaculture species are relatively lacking, the knowledge base remains to be further
expanded and perfected.