Advanced machine learning model that predicts the Fire Weather Index (FWI) based on weather and environmental conditions to assess fire risk levels.
Try PredictionOur system calculates the Fire Weather Index (FWI) based on key meteorological parameters to assess fire danger levels.
Computes the Fire Weather Index based on temperature, humidity, wind speed, and rainfall data.
Provides clear risk levels based on FWI values for better decision making.
Uses machine learning to provide accurate FWI predictions based on historical patterns.
Enter the following weather parameters to calculate the Fire Weather Index (FWI) and assess fire danger levels.
Our advanced machine learning model analyzes multiple environmental factors to predict the Fire Weather Index with high accuracy.
Our system uses historical weather and environmental data to train machine learning models that can predict Fire Weather Index based on current conditions.
The prediction takes into account various factors including temperature, humidity, wind speed, rainfall, and fire weather codes to provide accurate FWI calculations.