
Machine Learning and Internet of Things in Fire Ecology
Engineering Science Reference (Publisher)
Published on 2. December 2024
Book
Paperback/Softback
390 pages
979-8-3693-7566-2 (ISBN)
Description
The destruction of millions of acres of forest land through wildfires is a global cause of concern. Artificial intelligence (AI), transformative in nature, has the potential to transcend and significantly mitigate risk factors of wildfires. AI-driven monitoring systems can detect early signs of wildfire activity, allowing for faster, more targeted responses that can minimize damage and save lives. Machine Learning and Internet of Things in Fire Ecology elucidates and explores the interface of fire ecology with AI, machine learning, and internet of things, as these technologies emerged as a pivotal domain with transformative potential. It will assist environmental-related industries in understanding the paraphernalia and dynamics of the fire ecology ecosystem. Covering topics such as AI, unmanned aerial vehicles (UAVs), and wildlife conservation, this book is an excellent resource for government officials, ecologists, academicians, policymakers, researchers, environmental specialists, industry experts, graduate and postgraduate students, and more.
More details
Language
English
Place of publication
Hershey, PA
United States
Publishing group
IGI Global
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 21 mm
Weight
739 gr
ISBN-13
979-8-3693-7566-2 (9798369375662)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Christian Kaunert | Rishabha Malviya | Bhupinder Singh
Machine Learning and Internet of Things in Fire Ecology
Book
12/2024
IGI Global
€305.10
Shipment within 10-20 days