rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Harnessing AI for invasive species management and biodiversity conservation
  title info:
    title: Harnessing artificial intelligence for invasive species management and biodiversity conservation
  name:
    name part: Ben Ameur, Walid
    name part: 1980-
    role:
      role term: editor.
  name:
    name part: Arbi, Adnène
    name part: 1982-
    role:
      role term: editor.
  name:
    name part: IGI Global Online
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: pau
    date issued: 2026
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource ( 14 PDFs 320 pages.) :
  table of contents: Preface -- Chapter 1. AI-Driven Policy Frameworks and Decision Support Systems for Invasive Species Management and Biodiversity Conservation -- Chapter 2. Algorithmic Ecopedagogy for Biosecurity Resilience and Invasive Biota Governance in the Anthropocene: AI-Mediated Ecological Stewardship Education -- Chapter 3. Artificial Intelligence (AI) Application in Invasive Species Monitoring and Control -- Chapter 4. Artificial Intelligence (AI)-Powered Conservation: Revolutionizing Wildlife Protection and Anti-Poaching Through Smart Technologies -- Chapter 5. Ethical, Legal, and Social Implications of AI in Ecological Research -- Chapter 6. Geospatial AI Innovations for Effective Biodiversity and Ecosystem Management -- Chapter 7. Human-AI Collaboration in Assessment: Rethinking Evaluation Practices in Education -- Chapter 8. Innovations Sustainable Management Practices and Future Perspectives in Forest Management -- Compilation of References -- About the Contributors -- Index.
  target audience: specialized
  note: Adnène Arbi, Walid Ben Ameur, editors.
  note: Includes bibliographic references and index.
  subject:
    topic: Biological invasions
    topic: Control
  subject:
    topic: Introduced organisms
    topic: Control
  subject:
    topic: Biodiversity
    topic: Monitoring
  subject:
    topic: Artificial intelligence
    topic: Biological applications
  subject:
    topic: Biodiversity conservation
  subject:
    topic: Invasions biologiques
    topic: Lutte contre
  subject:
    topic: Espèces introduites
    topic: Lutte contre
  subject:
    topic: Biodiversité
    topic: Surveillance
  subject:
    topic: Intelligence artificielle
    topic: Applications biologiques
  subject:
    topic: Biodiversité
    topic: Conservation
  subject:
    topic: Artificial Intelligence.
  subject:
    topic: Biodiversity.
  subject:
    topic: Biology.
  subject:
    topic: Biotechnology.
  subject:
    topic: Climate Change.
  subject:
    topic: Conservation and Preservation.
  subject:
    topic: Data Science.
  subject:
    topic: Ecology.
  subject:
    topic: Economics and Economic Theory.
  subject:
    topic: Ecosystem Management.
  subject:
    topic: Environmental Science.
  subject:
    topic: Invasive Species Management.
  subject:
    topic: Machine Learning.
  subject:
    topic: Remote Sensing Technology.
  subject:
    topic: Surveillance Technology.
  subject:
    topic: Sustainable Development.
  subject:
    topic: Wildlife Protection.
  classification: QH353 .H365 2026e
  classification: 577.18
  related item:
    title info:
      title: e-Book Collection
  identifier: 9798337346182
  identifier: 9798337346168
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: IGIGL
    record creation date: 260123
    record change date: 20260327150321.2
    record identifier: in00005784181
    language of cataloging:
      language term: eng