Table of Contents:
  • Preface
  • Chapter 1. From Climate Crisis to Data-Driven Governance: Artificial Intelligence and Remote Sensing in Climate Policy Support
  • Chapter 2. AI-Enhanced Bibliometric Mapping of Climate Change and Social Justice Research in Africa (1990-2023)
  • Chapter 3. Hybrid and Physics-Informed AI Models in Earth System Analysis
  • Chapter 4. Uncertainty Analysis, Validation, and Benchmarking of AI Models in Earth Sciences
  • Chapter 5. Deep Learning Architectures for Remote Sensing: CNN, RNN, LSTM, Transformers
  • Chapter 6. Nanoenabled Artificial Intelligence for Sustainable and Digital Advancement in Precision Farming
  • Chapter 7. AI Applications in Agricultural Monitoring, Crop Yield Estimation, and Food Security
  • Chapter 8. A Framework for Robust and Interpretable Yield-Risk Classification Using Country-Year-Crop Data (X-AMLF)
  • Chapter 9. Advanced Artificial Intelligence and Multi-Source Remote Sensing for Agricultural Monitoring and Forecasting
  • Compilation of References
  • About the Contributors
  • Index.