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: Artificial intelligence and data science for sustainability
    sub title: applications and methods
  name:
    name part: Syafrudin, Muhammad
    name part: 1990-
    role:
      role term: editor.
  name:
    name part: Fitriyani, Norma Latif
    name part: 1992-
    role:
      role term: editor.
  name:
    name part: Anshari, Muhammad
    name part: 1977-
    role:
      role term: editor.
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: pau
    date issued: 2025
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: "The book will bring together cutting-edge research, case studies, and practical applications that demonstrate how AI can be leveraged to promote sustainable development across diverse domains, such as energy, transportation, agriculture, waste management, urban planning, and environmental protection"--
  table of contents: Preface -- Chapter 1. Green Technologies: How AI and Data Science Are Pioneering Sustainable Practices -- Chapter 2. Utilizing Artificial Intelligence and Data Science to Mitigate the Impacts of Climate Change -- Chapter 3. AI powered Conservation Transforming Habitat Management for a Sustainable Future -- Chapter 4. The Use of Artificial Intelligence to Curb Deforestation in the Brazilian Rainforest: Methods, Infrastructure, and Implications -- Chapter 5. AI and Data Science in Sustainable Agriculture and Food Production -- Chapter 6. Applications of Artificial Intelligence and Data Science in Sustainable Agriculture: A Review of Techniques and Case Studies -- Chapter 7. Leveraging Artificial Intelligence for Sustainable Development in Agriculture: An Exploratory Study -- Chapter 8. Smart Agriculture Based on Artificial Intelligence and Drones Through a Systematic Review -- Chapter 9. Revolutionizing Agriculture With Automated Plant Disease Detection: Techniques, Applications, Challenges, Future Directions, and Sustainability Impacts -- Chapter 10. An Enhanced Deep Convolutional Neural Network for Plant Disease Detection and Classification: Elevating Sustainable Agriculture -- Chapter 11. Harnessing Artificial Intelligence and Data Science for Sustainable Water Management and Irrigation -- Chapter 12. Climate Change Impact on Coastal Groundwater Salinity Along the African Coast: With Model Prediction of Economic Cost -- Chapter 13. Using Machine Learning to Categorize the State of Safety of Mines Based on Physical Geographical Features of the Mine Rock -- Compilation of References -- About the Contributors -- Index.
  note: [edited by] Muhammad Syafrudin, Norma Latif Fitriyani, Muhammad Anshari.
  note: Includes bibliographical references and index.
  subject:
    topic: Sustainable engineering
    topic: Data processing
  subject:
    topic: Artificial intelligence
    topic: Industrial applications
  subject:
    topic: Ingénierie durable
    topic: Informatique
  subject:
    topic: Intelligence artificielle
    topic: Applications industrielles
  classification: TA163 .A779 2025
  classification: 628.0285/63
  related item:
    title info:
      title: Artificial Intelligence and Data Science for Sustainability
    name:
      name part: Syafrudin, Muhammad
    origin info:
      publisher: Hershey : IGI Global,c2025
  identifier: 9798369368312 (electronic bk.)
  location:
    physical location: POD
  record info:
    record content source: YDX
    record creation date: 250209
    record change date: 20250810211316.7
    record identifier: in00005658270
    language of cataloging:
      language term: eng