More precise fire extinguishing from the air using simulation and sensor data

Wildfires are becoming more frequent and more intense worldwide. Fires often become infernos because of heat, drought and wind, especially in the summer. The problem is compounded by the climate crisis. Researchers at the Fraunhofer Institute for Industrial Mathematics ITWM and the startup CAURUS Technologies GmbH are responding to this growing global threat by collaborating to develop a machine-learning system for more precise aerial firefighting that determines the fire situation in real time and calculates the optimum aerial drop time.