Emerging AI Applications in Earth Sciences: Challenges, Impact and Analysis (Hardcover)

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.