• 0 5391 6310 , 0 5391 6320
  • acquisition_library@mfu.ac.th
  • BOOK
  • E-BOOK
        
  • Log in
  • HOME
  • CATEGORY
    • Agro-Industry
    • Anti Aging and Regenerative Medicine
    • Applied Digital Technology
    • Cosmetic Science
    • Dentistry
    • General Books
    • Health Science
    • Integrative Medicine
    • Law
    • Liberal Arts
    • Management
    • Medicine
    • Nursing
    • Science
    • Sinology
    • Social Innovations
  • BOOKFAIR WEBSITE
  • MANUAL

Category

Agro-Industry

Anti Aging and Regenerative Medicine

Applied Digital Technology

Cosmetic Science

Dentistry

Health Science

Integrative Medicine

Law

Liberal Arts

Management

Medicine

Nursing

Science

Sinology

Social Innovations

General Books

E-Book

AI and Machine Learning Techniques for Wildlife Conservation

ISBN : 9798369369371

Author : Yogita Yashveer Raghav

Publisher : Engineering Science Reference

Year : 2025

Language : English

Type : E-book

Description : 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.

Please register to recommend this book to the library.

RECOMMENDED BOOKS

Advanced Research Methods in Food Processing Technologies

Junaid Ahmad Malik

  • Detail

Solid State ChemistryAn Introduction

Elaine A. Moore

  • Detail

Artificial Intelligence in the Food Industry : Enhancing Quality and Safety

Insha Zahoor

  • Detail

Data Science A First Introduction with Python

Tiffany Timbers

  • Detail

Managing Business Projects: The Essentials

Frank Einhorn

  • Detail

The Web3 Era : NFTs, the Metaverse, Blockchain and the Future of the Decentralized Internet

David Shin

  • Detail

Handbook of Industrial Food Microbiology

Manju Nehra

  • Detail

Multivariate Statistics Classical Foundations and Modern Machine Learning

Hemant Ishwaran

  • Detail

Learning Reources and Education Media Centre - Mae Fah Luang University