Flood prediction is becoming increasingly critical as climate change continues to reshape our environment. Leveraging machine learning and distributed sensors can offer a proactive solution to this challenge. Deploying models like this at the edge is beneficial because it allows immediate action at the point of data collection, regardless of wider network connectivity which can be affected by extreme weather. In this blog, we’ll explore how to build an advanced flood monitoring system using Edge Impulse, featuring time-series forecasting to predict river levels up to 24 hours into the future.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/building-an-advanced-flood-monitoring-system-with-edge-impulse