Role of UAV-IoT Networks in Future Wildfire Detection

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Author(s): Ujjwal Agrawal (UM-DAE Centre for Excellence in Basic Sciences, Mumbai, India)
Copyright: 2025
Pages: 28
Source title: Machine Learning and Internet of Things in Fire Ecology
Source Author(s)/Editor(s): Christian Kaunert (Dublin City University, Ireland), Rishabha Malviya (Galgotias University, India), Bhupinder Singh (Sharda University, India), Sahil Lal (School of Law, Sharda University, Greater Noida, India)and Manmeet Kaur Arora (Sharda University, India)
DOI: 10.4018/979-8-3693-7565-5.ch013

Keywords: Ecology / Engineering Science Reference / Environment & Agriculture / Environmental Engineering

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Abstract

Wildfires have posed a significant threat to ecosystems and human settlements throughout history, and their frequency and intensity have only increased in modern times due to climate change and other anthropogenic factors. This chapter explores the evolution of wildfire management, from early historical approaches to modern-day challenges. It emphasizes the growing need for prevention over reactive firefighting efforts, as prevention strategies offer more sustainable and effective long-term solutions. The chapter introduces the role of Unmanned Aerial Vehicles (UAVs) integrated with Internet of Things (IoT) networks as a transformative approach to wildfire detection and monitoring. It examines how real-time data collection, sensor networks, and machine learning algorithms enable early detection and prediction of wildfires, allowing for rapid response and prevention. The potential and limitations of these technologies are discussed, along with the challenges of implementation, such as data processing, scalability, and resource allocation.

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Role of UAV-IoT Networks in Future Wildfire Detection

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