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Full Description
Environmental Monitoring with AI and IoT: Smart Systems for a Sustainable Future aims to provide a comprehensive understanding of how modern technologies like Artificial Intelligence (AI) and the Internet of Things (IoT) revolutionize environmental monitoring. It bridges the gap between traditional environmental assessment methods and advanced, technology-driven approaches to enhance efficiency, accuracy, and scalability.
This book emphasizes the practical application of AI and IoT in addressing pressing environmental challenges, such as air, water, and soil quality monitoring, while aligning with sustainability goals. The scope of this book is vast, covering both foundational concepts and advanced methodologies in environmental monitoring. It includes essential topics like sensor technologies, AI techniques for data analysis, IoT communication protocols, and ethical considerations in environmental monitoring. Real-world case studies and practical examples make the content relatable and actionable.
Students, instructors, and professionals will benefit from the insights into creating and deploying smart environmental systems capable of addressing diverse challenges, from urban air quality management to disaster prediction and response. Students will find the content highly accessible and aligned with academic and industrial requirements, while instructors will appreciate its structured approach to teaching these cutting-edge topics.
Contents
Part I Fundamental Concepts 1. Introduction to Environmental Monitoring 2. Environmental Parameters and Their Measurement 3. Foundations of AI and IoT for Environmental Applications 4. Role of AI in Environmental Monitoring and Supporting Technologies Part II Core Technologies and Methodologies 5. Sensor Technologies in Environmental Monitoring 6. IoT Infrastructure and Communication Protocols 7. AI Techniques for Environmental Data Analysis 8. Data Management and Analytics 9. Global Case Studies from Underrepresented Regions Part III Applications and Practical Insights 10. Air Quality Monitoring Systems 11. Water Quality Monitoring Systems 12. Soil Health and Agricultural Applications 13. Disaster Monitoring and Climate Analysis Part IV Broader Perspectives and Challenges 14. Ethics and Social Implications 15. Emerging Trends and Future Technologies 16. Policy and Governance 17. Some Benefits and Tips 18. Challenges in AI Environmental Projects 19. Digital Twin Technology in Environmental Applications 20. Expanded Section: GIS and Remote Sensing Essentials 21. Uncertainty Analysis in AI for Environmental Research 22. Practical Hands-on Tutorials (Examples) 23. Concluding Perspectives
