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Artificial intelligence and data science for sustainability : applications and methods /

"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 prot...

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Bibliographic Details
Other Authors: Syafrudin, Muhammad, 1990- (Editor), Fitriyani, Norma Latif, 1992- (Editor), Anshari, Muhammad, 1977- (Editor)
Format: eBook
Language:English
Published: Hershey, PA : IGI Global Science Publishing, [2025]
Subjects:
Sustainable engineering > Data processing.
Artificial intelligence > Industrial applications.
Ingénierie durable > Informatique.
Intelligence artificielle > Applications industrielles.
Electronic books.
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.