Ai and Machine Learning Techniques for Wildlife Conservation - Softcover

Softcover

ISBN 13: 9798369369364

Publisher: Igi Global Scientific Publishing, 2025

Synopsis

As the world grapples with the alarming rate of biodiversity loss, the potential of cutting-edge technologies, namely machine learning (ML) and artificial intelligence (AI), revolutionize the way we approach wildlife conservation. From sophisticated sensor technologies to innovative AI algorithms, foundational tools driving this paradigm shift provide a comprehensive understanding of their applications in safeguarding biodiversity. The navigation of systems such as the Spatial Monitoring and Reporting Tool (SMART) and advanced animal detection systems can be used to delve into the intricacies of feature extraction and precise identification. This exploration of predictive modeling, data ethics, citizen science, and the integration of satellite data offers a holistic perspective on the dynamic intersection of technology and conservation. AI and Machine Learning Techniques for Wildlife Conservation illustrates the tangible impact of these technologies on addressing pressing conservation challenges and advocates for the engagement of citizen science initiatives with AI. It fosters a collaborative approach to wildlife conservation that leverages the power of technology for a sustainable future. Covering topics including Internet of Things (IoT), satellite data, and predictive ecosystem management, this book is an excellent resource for conservationists, computer scientists, researchers, professionals, academicians, scholars, and more.

Edition details

• Publisher: Igi Global Scientific Publishing
• Publication date: 2025
• Language: English
• ISBN 13: 9798369369364
• Binding: Paperback
• Number of pages: 480
• Editor: Raghav Yogita Yashveer, Chauhan Aditi, Pandey Pallavi, Khan Surbhi Bhatia