AI for climate governance, agriculture, and earth systems /
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| Format: | eBook |
| Language: | English |
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Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global Scientific Publishing,
2026.
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| Online Access: | Connect to the full text of this electronic book |
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.