Report on "AI, DL, ML Technologies to Detect and Prevent Forest fires

Venue:Institute of Remote Sensing, College of Engineering Guindy, Anna University

participants

1. vedha varshini
2. tamizhini
3. selvanth karthik

This report summarizes the presentation on the use of AI, Deep Learning (DL), and Machine Learning (ML) technologies to detect and prevent forest fires. The presentation was part of the Geoinnovation Challenge, focusing on "Geoinnovate for Sustainable Nation: Addressing Crucial Ecosystem Service." The team explored various technological solutions for early detection and prevention of forest fires, ultimately securing a participation recognition in the challenge.

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Presentation Overview

*Causes of Forest Fires:* Discussed natural and human-induced causes, including climate change, lightning, deforestation, and negligence. - *Importance of Preventing Forest Fires:* Emphasized the ecological, economic, and social impacts of forest fires, underlining the need for proactive prevention measures. - *Ideas for Preventing Forest Fires:* Proposed strategies like controlled burning, public awareness campaigns, and the use of drones for real-time monitoring. - *Tools Used to Detect Forest Fires:* Focused on the implementation of AI, DL, and ML models for early detection, satellite monitoring, and predictive analysis. - *FSI Fire Alert System:* Introduced the Forest Survey of India's (FSI) fire alert system, which uses remote sensing technology and AI to provide real-time alerts. *Conclusion:* Summarized the potential of AI and related technologies to revolutionize forest fire management and contribute to the sustainability of ecosystems.

AWARDING MOMENT

links for more geo innovation challange program videos