Machine Learning Based Water Quality Parameters Predicting and Forecasting

This research is primarily about water quality parameters mapping and time series forecasting of water nutrients. Additionally, it will develop a dynamic framework capable of concurrently retrieving water quality indicators in the coastal and inland waters through in-situ sensors and satellite imagery. In the future this project will focus on building a real time water quality monitoring and forecasting model for large scale and sustainable long-term usage.

P3.40s

Project Leader:
Professor Wei Xiang, La Trobe University

PhD Student:
Chenxi Luo, La Trobe University

Participants: