Emerging AI Applications in Earth Sciences

This proposed book provides deeper insights into artificial intelligence techniques and procedures available for earth sciences. This book unveils several applications of metaheuristic approaches (i.e., swarm intelligence and IoT technologies) in collaboration with AI for earth sciences. It presents the science behind smart technologies that reveal the power of artificial intelligence and IoT. These methodologies help to extract meaningful insights from earth sciences big data analytics. These advanced technologies used in earth science practices can remove geographical barriers, locally adaptive, operationally feasible, and economically affordable. The areas can be explored with the aim of digitizing the whole world. Technological advancement also impacts the financial aspect involved in managing the earth sciences. Intelligent AI applications have made significant strides in the field of earth sciences, offering novel solutions to complex challenges, driving impactful research, and revolutionizing data analysis and interpretation. This intersection of artificial intelligence and earth sciences has paved the way for an enhanced understanding of our planet and its various phenomena.

Acts as a compendium for undertaking the initiatives for research in emerging AI for earth sciences Consists of knowledge on how to optimize resource allocation in fields like agriculture and water management Processes seismic data to understand fault movements and earthquake patterns

Autorentext

Dr. Chander Prabha is a professor in the Department of Computer Science and Engineering at Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. She has published many book chapters in CRC Press and Elsevier. She has more than 100 publications in her credits. She is the guest editor of the Journal of Artificial Intelligence and the Internet of Things, Near East University, Turkey. She has also been a reviewer at many international conferences and journals of repute. Many online certifications and patents are included in her credit. She is a lifetime member of educational societies like ISTE, IAENG, SCIEI, IIRJC, IACSIT, etc. Her areas of interest are wireless and mobile network architectures, protocols, performance evaluations, machine learning, data analytics, and law.

Md. Mehedi Hassan has completed M.Sc. in Computer Science and Engineering, Khulna University, Khulna, Bangladesh. He conducts research in the disciplines of biomedical engineering and data science. His research interests are predictive analysis and expert system development. He has 52 publications with two books and he is working as a peer reviewer to more than 57 prestigious journals. He collaborates with internal researchers because he believes that without research, innovation is impossible. He is a trainer for the course platform VCourse. In the past two years, he has trained more than 250 students. He has led more than three patents out of which three were granted to his name.

Farhana Yasmin is a Ph.D. student of School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China. She received the B.Sc. degree from the Department of Computer Science and Engineering, Eastern University, Bangladesh. She completed M.Sc. degree in computer application and technology with Changzhou University, China. She is an expert in computer vision, biomedical engineering, and data science, all of which fall under the broad umbrella of artificial intelligence (AI). Two of her primary research interests are in predictive analysis and the development of expert systems. She works with scientists from all around the world to broaden her horizons and increase the depth of her expertise.

Dr. Asif Karim (Member, IEEE) is currently a researcher and a lecturer at Charles Darwin University, Australia. Alongside being an active researcher, he has considerable industry experience in IT, primarily in the field of software engineering. His research interests include machine intelligence, health informatics, and smart contracts.

Inhalt

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.