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Full Description
Artificial Intelligence (AI) plays a pivotal role in advancing environmental stewardship by enabling innovative solutions to address pressing ecological challenges. Through its ability to process vast amounts of data, AI empowers researchers and policymakers to monitor environmental changes, predict future trends, and develop strategies for sustainable resource management. By integrating AI into environmental efforts, societies can transition toward more sustainable practices, ensuring the preservation of natural ecosystems for future generations. Its transformative potential underscores the importance of leveraging AI as a critical tool in fostering global environmental resilience and sustainability.
AI for Environmental Innovation and Stewardship examines this transformative potential by covering fundamental concepts, innovative methodologies, and real-world applications of AI in environmental contexts. It highlights the role of machine learning, data analytics, generative AI, supply chains, augmented reality, and virtual reality in providing new insights and solutions for managing complex ecological systems. It explains how AI is advancing environmental monitoring, enhancing predictive capabilities, optimizing resource usage, and supporting evidence-based decision-making. Highlights include:
Legal perspectives and challenges of using AI in environmental justice
Enhancing agricultural supply chains through AI and Blockchain integration
AI innovations in Augmented Reality and Virtual Reality for environmental education
AI to promote responsible consumption and waste management
With its wide-ranging and holistic view of AI in environmental stewardship, the book is a resource for researchers, students, policymakers, and industry professionals, who seek to promote innovation and collaboration at the intersection of AI and the environment.
Contents
1. AI and Climate Change: Modeling the Future for Global Impact2. Green AI: Future Trends and Innovations3. AI: Revolutionizing Environmental Innovations4. Sustainability in New Emerging Technologies: A Focus on Artificial Intelligence in the Digital Era5. Scrutinizing Stand-Alone and Web-Based Database Architectures and API Integration6. Green AI: Future Trends and Innovations7. Generative AI and Computational Intelligence8. Energy Consumption of AI Systems9. Enhancing Agricultural Supply Chains Through AI and Blockchain Integration10. Detecting Microplastics in Aquatic Bodies Using Object Detection Models11. Sustainable Policy Frameworks: AI's Role in International Trade12. Innovative Advances of AI in Augmented Reality and Virtual Reality for Environmental Education13. AI and Environmental Justice: Legal Perspectives and Challenges14. Innovative Approaches to Environmental Stewardship: The Potential of Artificial Intelligence15. Revolutionizing Climate Science With Artificial Intelligence16. AI-Enhanced Responsible Consumption and Waste Management17. Future Farming: Harnessing AI for Sustainability18. Innovations and Impacts on Agricultural Practices: Improving Weed Management with Artificial Intelligence19. Artificial Intelligence (AI) in Renewable Energy Systems: A Brief Overview for Conserving and Efficiently Utilizing Renewable Resources20. Sustainability Future of Green AI and Its Application: A Review21. AI in Climate Research: Enhancing Accuracy and Understanding of Climate Patterns22. Green Computing: Reducing the Carbon Footprint of AI Systems Through Sustainable Practices
