AI for Environmental Monitoring Leveraging AI for Sustainable Solutions

AI for Environmental Monitoring Leveraging AI for Sustainable Solutions

Harnessing Artificial Intelligence to Protect Our Planet

About the Book

AI for Environmental Monitoring: Leveraging AI for Sustainable Solutions explores how artificial intelligence is revolutionizing environmental protection. From real-time air quality tracking to wildlife conservation and climate change mitigation, this book showcases AI-driven innovations that empower sustainable decision-making. Learn how machine learning, computer vision, and data analytics are shaping a greener future.

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About the Author

ALBERT TETTEH ADJEI
ALBERT TETTEH ADJEI

Albert Tetteh Adjei is a passionate software engineer from Ghana with a deep interest in emerging technologies and digital transformation. A graduate of Aptech Computer Education, he specializes in software development and has a keen focus on next-generation wireless technologies, artificial intelligence, and cybersecurity. With a strong background in tech, Albert is dedicated to simplifying complex topics for readers, helping them navigate the ever-evolving digital landscape.

Table of Contents

Table of Contents Chapter 1: Introduction to AI in Environmental Monitoring ............. 10 Chapter 2: The Basics of Artificial Intelligence ................................... 14 Chapter 3: Historical Perspectives of AI in Environmental Sciences . 20 Chapter 4: Key Technologies in AI for Environmental Applications .. 27 Chapter 5: Data Collection and Management for Environmental Monitoring ........................................................................................... 35 Chapter 6: Machine Learning Algorithms for Environmental Data Analysis ................................................................................................. 43 Chapter 7: Deep Learning Techniques in Environmental Monitoring .............................................................................................................. 48 Chapter 8: Case Study: AI in Air Quality Monitoring .......................... 52 Chapter 9: AI for Water Quality and Management ........................... 57 Chapter 10: Soil Health Monitoring with AI ....................................... 64 Chapter 11: AI in Wildlife Tracking and Conservation ....................... 71 Chapter 12: Remote Sensing and AI for Ecosystem Management ... 78 Chapter 13: Climate Change Prediction and Mitigation Using AI ..... 85 Chapter 14: AI in Disaster Prediction and Management ................... 92 Chapter 15: Real-time Environmental Monitoring Systems ............ 100 Chapter 16: Predictive Maintenance of Environmental Infrastructure ............................................................................................................ 108 Chapter 17: AI in Renewable Energy Optimization .......................... 115 Chapter 18: Smart Agriculture: AI Applications for Sustainable Farming .............................................................................................. 124 9 Chapter 19: Urban Environmental Monitoring with AI ................... 132 Chapter 20: Challenges and Limitations of AI in Environmental Monitoring ......................................................................................... 139 Chapter 21: Ethical Considerations in AI for Environmental Monitoring ......................................................................................... 144 Chapter 22: Integrating AI with Internet of Things (IoT) for Environmental Solutions ................................................................... 148 Chapter 23: Developing AI Models for Environmental Applications ............................................................................................................ 157 Chapter 24: Big Data Analytics in Environmental Monitoring......... 161 Chapter 25: AI for Waste Management and Recycling ................... 168 Chapter 26: The Role of AI in Policy and Decision Making for Environmental Protection ................................................................. 172 Chapter 27: Future Trends in AI for Environmental Sustainability . 178 Chapter 28: Collaborative AI Projects for Global Environmental Monitoring ......................................................................................... 186 Chapter 29: Tools and Software for AI in Environmental Monitoring ............................................................................................................ 194 Chapter 30: Conclusion and Future Directions in AI for Sustainable Solutions ............................................................................................. 201

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