國立虎尾科技大學 |

AI and machine learning techniques for wildlife conservation

Record Type:	Language materials, printed : Monograph/item
Title/Author:	AI and machine learning techniques for wildlife conservation/ Yogita Yashveer Raghav, Aditi Chauhan, Pallavi Pandey, Surbhi Bhatia Khan, editors.
remainder title:	Artificial intelligence and machine learning techniques for wildlife conservation
other author:	Bhatia, Surbhi,
Published:	Hershey, Pennsylvania :IGI Global, : 2025.,
Description:	1 online resource (xvii, 445 p.) :ill., maps. :
Subject:	Wildlife conservation - Technological innovations. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-6935-7
ISBN:	9798369369371

AI and machine learning techniques for wildlife conservation
AI and machine learning techniques for wildlife conservation[electronic resource] /Artificial intelligence and machine learning techniques for wildlife conservationYogita Yashveer Raghav, Aditi Chauhan, Pallavi Pandey, Surbhi Bhatia Khan, editors. - Hershey, Pennsylvania :IGI Global,2025. - 1 online resource (xvii, 445 p.) :ill., maps.

Includes bibliographic references and index.

Preface -- Chapter 1. AI Innovations for Wildlife Preservation: An Introductory Guide -- Chapter 2. An Overview of AI Applications in Wildlife Conservation -- Chapter 3. Tech for the Wild: Leveraging IoT and Cloud Computing in Wildlife Conservation -- Chapter 4. Artificial Intelligence in the Current Era: Navigating the Impacts on Society and Wildlife Conservation -- Chapter 5. Challenges and Limitations of AI in Wildlife Conservation -- Chapter 6. Harnessing AI for Predictive Ecosystem Management: Transforming Conservation Through Data-Driven Insights -- Chapter 7. Navigating the Landscape: Challenges and Opportunities of AI in Wildlife Conservation -- Chapter 8. Blockchain Technology for Wildlife Conservation -- Chapter 9. Emerging Artificial Intelligence Tools, Advancements, and Opportunities for Protecting Wild Animals -- Chapter 10. Ethical Considerations in AI: Applications for Wildlife Conservation -- Chapter 11. Integration of Satellite Data and AI for Habitat Monitoring and Conservation -- Chapter 12. Challenges and Limitations of AI in Conservation -- Chapter 13. Virtual Safari -- Chapter 14. Limitations and Challenges of AI in Wildlife Conservation -- Compilationof References -- About the Contributors -- Index.

"The objectives of "Advancing Wildlife Conservation through Machine Learning and Artificial Intelligence" are multifaceted. First and foremost, the book aims to provide readers with a comprehensive understanding of the transformative technologies of machine learning (ML) and artificial intelligence (AI) and their profound applications in wildlife conservation"--

Mode of access: World Wide Web.

ISBN: 9798369369371Subjects--Topical Terms:

1498744
Wildlife conservation
--Technological innovations.Subjects--Index Terms:

Artificial Intelligence (AI)Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QL82 / .A379 2025eb

Dewey Class. No.: 333.95/40285

AI and machine learning techniques for wildlife conservation
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260 $a Hershey, Pennsylvania : $b IGI Global, $c 2025.
300 $a 1 online resource (xvii, 445 p.) : $b ill., maps.
504 $a Includes bibliographic references and index.
505 0 $a Preface -- Chapter 1. AI Innovations for Wildlife Preservation: An Introductory Guide -- Chapter 2. An Overview of AI Applications in Wildlife Conservation -- Chapter 3. Tech for the Wild: Leveraging IoT and Cloud Computing in Wildlife Conservation -- Chapter 4. Artificial Intelligence in the Current Era: Navigating the Impacts on Society and Wildlife Conservation -- Chapter 5. Challenges and Limitations of AI in Wildlife Conservation -- Chapter 6. Harnessing AI for Predictive Ecosystem Management: Transforming Conservation Through Data-Driven Insights -- Chapter 7. Navigating the Landscape: Challenges and Opportunities of AI in Wildlife Conservation -- Chapter 8. Blockchain Technology for Wildlife Conservation -- Chapter 9. Emerging Artificial Intelligence Tools, Advancements, and Opportunities for Protecting Wild Animals -- Chapter 10. Ethical Considerations in AI: Applications for Wildlife Conservation -- Chapter 11. Integration of Satellite Data and AI for Habitat Monitoring and Conservation -- Chapter 12. Challenges and Limitations of AI in Conservation -- Chapter 13. Virtual Safari -- Chapter 14. Limitations and Challenges of AI in Wildlife Conservation -- Compilationof References -- About the Contributors -- Index.
520 3 $a "The objectives of "Advancing Wildlife Conservation through Machine Learning and Artificial Intelligence" are multifaceted. First and foremost, the book aims to provide readers with a comprehensive understanding of the transformative technologies of machine learning (ML) and artificial intelligence (AI) and their profound applications in wildlife conservation"-- $c Provided by publisher.
538 $a Mode of access: World Wide Web.
650 0 $a Wildlife conservation $x Technological innovations. $3 1498744
650 0 $a Artificial intelligence $x Industrial applications. $3 796380
650 0 $a Machine learning $x Industrial applications. $3 805305
653 $a Artificial Intelligence (AI)
653 $a Blockchain Technology.
653 $a Cloud Computing.
653 $a Habitat Monitoring.
653 $a Internet of Things (IoT)
653 $a Landscape Challenges.
653 $a Machine Learning (ML)
653 $a Predictive Ecosystem Management.
653 $a Satellite Data.
653 $a Societal Impacts.
653 $a Virtual Safari.
653 $a Wildlife Conservation.
655 4 $a Electronic books. $2 local $3 554714
700 1 $a Bhatia, Surbhi, $d 1988- $3 1498740
700 1 $a Raghav, Yogita Yashveer, $d 1984- $3 1498741
700 1 $a Chauhan, Aditi, $d 1985- $3 1498742
700 1 $a Pandey, Pallavi, $d 1979- $3 1498743
710 2 $a IGI Global. $3 805187
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