Main features

The system is composed by:
- Low-cost and low-energy consumption tiny sensors to be placed on land;
- Open-source satellites’ data provided by third parties (eg. Copernicus data);
- AI software.

The land and satellite data will be processed along with the historical data from the focused endangered areas. AI will then merge the actual and past data into an algorithm with a target of accuracy higher than 90% in detecting an actual wildfire; a signal will be sent to athorities and eventually to a group of MANTA drones that will intervene.
The same data can be studied to manage agriculture more efficiently and provide reliable data for crops location and optimization.

Estimated date of tests: 2022
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