Our IoT-based early warning system for forest fires leverages low-cost sensors and advanced predictive modelling to detect and prevent wildfires in vulnerable areas, such as the Borjomi-Kharagauli forest-park.
By monitoring key environmental parameters such as temperature, humidity, and air quality (smoke in air) in real-time, our system can identify potential fire risks and issue timely alerts to authorities and local communities, enabling rapid response and mitigation efforts.
Through continuous data collection and analysis, we aim to minimize the impact of wildfires on forest ecosystems, wildlife habitats, and surrounding communities, while preserving the natural beauty and biodiversity of the Borjomi-Kharagauli forest-park.
