Fire-Risk Vegetation Mapping using AI

Fire-prone vegetation poses threats to agricultural lands and our natural environment.  Grasses like gamba and mission grass dramatically increase the fuel load in our forests, turning manageable fires into ecological disasters.

AgTAC Impact

This AgTAC research is focussing on identifying and mapping fire-prone vegetation, such as gamba grass and mission grass, using aerial imagery and AI-powered classification models. Drones equipped with RGB sensors will be deployed across representative forest sites to capture vegetation profiles.

The system will generate spatially accurate fire-risk maps, giving land managers the tools to prioritise weed control, enhance fire preparedness, and reduce the ecological impact of wildfires.

“Ultimately, this technology enables proactive intervention, protecting ecosystems and communities from the growing risk of severe wildfires.”– Tao Huang

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