Emerging AI Applications in Earth Sciences

Chapter 1 Introduction to AI and IoT in the field of Earth Sciences.- Chapter 2. Growing Beyond the Earth: The Potential of Extra-Terrestrial Agriculture from Earth to Space.- Chapter 3. A Spatiotemporal Urban Growth Assessment in Bhopal, India from 1992 To 2042 using Machine Learning Algorithms.- Chapter 4. Emerging Areas and Applications in the Field of Earth Sciences.- Chapter 5. Integrating Deep Learning and IoT for Enhanced Monitoring and Sustainable Mining Practices.- Chapter 6. AI-Driven Insights into Fault Movements and Earthquake Dynamics.- Chapter 7. Harnessing Ai for Seismic Hazard Detection and Prediction: Innovations and Challenges.- Chapter 8. AI Techniques for Remote Monitoring.- Chapter 9. Role of AI in Estimating Potential Aftershocks During Earthquake.- Chapter 10. Advancements in Ozone Monitoring: Leveraging AI and ML for Environmental Protection.- Chapter 11. Quantum Computing in the Field of Earth Sciences.- Chapter 12. Machine Learning Approaches for Yield Prediction and Crop Management Optimization: A SLR.- Chapter 13. Resource Allocation in agriculture and Water Management fields.- Chapter 14. Optimising Crop Yields with Machine learning: Techniques and Applications.- Chapter 15. AI Trends Concerning Patterns, Anomalies, and Correlations for Predicting Earthquake Patterns.- Chapter 16. Future Trends and Challenges of AI And IoT for Earth Sciences.

• Erscheinungsdatum: 02.07.2025
• Autor/Autorin: Chander Prabha
• Reihe: Earth and Environmental Science (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 17.2 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 300 Seiten
• ISBN: 9783031845833
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.