Onboard gas sensors detect NOx, CO, SO₂, and other harmful chemicals at various altitudes to pinpoint pollution sources.
Real-time temperature, humidity, and wind data are processed to predict localized rainfall and approaching storms.
Machine learning models identify pollution spikes and hazardous air quality trends over time.
Forest humidity analysis predicts wildfire risks, allowing for preventative measures in dry zones.
Adds scientific intelligence to drones — going far beyond normal surveillance or mapping. It transforms a flying camera into a sophisticated, mobile laboratory.
Turns drones into intelligent environmental monitoring & hazard forecasting systems, enabling proactive protection of our planet and public health.