AI and IoT Integration for Natural Disaster Management

Author:

Ouaissa Mariyam1ORCID,Ouaissa Mariya2ORCID,El Himer Sarah3,Boulouard Zakaria4ORCID

Affiliation:

1. Laboratory of Information Technologies, Chouaib Doukkali University, El Jadida, Morocco

2. Computer Systems Engineering Laboratory, Cadi Ayyad University, Marrakech, Morocco

3. Sidi Mohammed ben Abdellah University, Fez, Morocco

4. LIM, Hassan II University, Casablanca, Morocco

Abstract

Natural and man-made disasters have become more frequent than ever and the need for disaster preparedness has increased over the years. New technologies, such as artificial intelligence (AI) and the internet of things (IoT), have the potential to revolutionize the field of disaster risk prevention, reduction, and response. This chapter explores the potential of artificial intelligence and IoT technologies for disaster relief operations. Potential applications of these technologies in disaster response are discussed; they include the use of IoT to detect early warning signs of natural disasters, alerting populations of risks and facilitate communication between emergency responders, as well as use of AI-based systems to provide data in real time to rescue workers. The authors discuss future directions and research directions for AI and IoT-based disaster management, as well as present case studies in the context of wildfire and flooding. Finally, we conclude by highlighting the need to advance AI and IoT-based technologies for their use in disaster management.

Publisher

IGI Global

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