A Synergistic Approach to Wildfire Prevention and Management Using AI, ML, and 5G Technology in the United States
Stanley Chinedu Okoro, Alexander Lopez, Austine Unuriode

TL;DR
This paper explores how integrating AI, ML, 5G, drones, and IoT can revolutionize wildfire detection, monitoring, and response in the US, aiming to enhance safety and reduce economic and environmental damages.
Contribution
It presents a comprehensive, technology-driven framework for proactive wildfire management using cutting-edge AI, ML, 5G, drones, and IoT, which is a novel approach in this field.
Findings
Advanced technology can enable proactive wildfire detection and management.
AI-enabled remote sensing and 5G improve monitoring capabilities.
Drones and IoT devices enhance response safety and efficiency.
Abstract
Over the past few years, wildfires have become a worldwide environmental emergency, resulting in substantial harm to natural habitats and playing a part in the acceleration of climate change. Wildfire management methods involve prevention, response, and recovery efforts. Despite improvements in detection techniques, the rising occurrence of wildfires demands creative solutions for prompt identification and effective control. This research investigates proactive methods for detecting and handling wildfires in the United States, utilizing Artificial Intelligence (AI), Machine Learning (ML), and 5G technology. The specific objective of this research covers proactive detection and prevention of wildfires using advanced technology; Active monitoring and mapping with remote sensing and signaling leveraging on 5G technology; and Advanced response mechanisms to wildfire using drones and IOT…
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Taxonomy
TopicsFire effects on ecosystems
