Description
Perspectives on Artificial Intelligence and Internet of Things for Sustainable Environment addresses urgent environmental issues stemming from urbanization, deforestation, and pollution by harnessing the power of artificial intelligence and the Internet of Things. This book offers readers crucial insights into how AI can be integrated with IoT, providing the knowledge necessary for leveraging these technologies to foster a sustainable future. In addition to theoretical knowledge, this book serves as a practical guide, offering tailored practices for AI and IoT integration. Case studies provide hands-on experience, empowering readers to make informed decisions on selecting and applying various AI and IoT frameworks for environmental sustainability.- Explores emerging trends in AI and IOT and their applications for environmental sustainability- Provides step-by-step guidance by showcasing the successful applications of AI and IOT in environmental monitoring and assessment- Includes actionable guidelines for deploying AI and IOT-based solutions
Table of Contents
Part 1: Foundations1. Basics of the Internet of Things (IoT)2. Basics of Image and Signal Processing applied to the Processing and Analysis of Environmental Data3. Basics of Deep Learning Enabling Smart Ecosystems4. Basics on Integrating AI and IoT Techniques for Developing Smart Environmental SystemsPart 2: AI Techniques and Distributed Computing5. Deep Learning Methods for Image Recognition and Classification in Smart Environmental Systems6. Development of Smart Environmental Systems using Fog and Edge Computing7. Computing Techniques for Resource Constrained Smart Environmental Environments8. Big Data Techniques for Monitoring Sustainable Development and Environmental ChangesPart 3: Applications and Case Studies 9. AI-powered Smart Grids with Edge Computing in Renewable Energy10. Weather Prediction and Forecasting11. Precision Agriculture with AI and IoT12. AI for the Real-Time Pollution Monitoring and Control13. Collaborative Edge-Cloud Computing for Sustainable Waste Management14. Integration of AI and IOT for Oceanic Pollution Detection15. Application of AI and IOT for Forest Fire Detection16. Monitoring the Climate Change using AI and IOT17. Glacial ecology18. Optimizing Water Resources and Conservation19. Conserving Biodiversity and Protecting Endangered SpeciesPart 4: Challenges and Future Directions20. Ethical and Societal Challenges of AI and IOT for Sustainable Development21. Outlook on Current Challenges and Future DirectionsPart 5: Conclusion 22. A Roadmap for Utilizing AI and IoT for Sustainable Development
