This second volume in the Green Technologies and Sustainable Intelligence series focuses on practical implementations, case studies, and emerging challenges in the application of sustainable and intelligent systems. Featuring real-world examples across sectors such as smart cities, renewable energy systems, sustainable agriculture, eco-efficient industries, and environmental monitoring, this book demonstrates how cutting-edge technologies can be harnessed to address urgent environmental and societal needs. Emphasizing the transformative role of artificial intelligence (AI), machine learning (ML), and generative AI, the book explores their use in optimizing decision-making, automating environmental assessments, simulating complex systems, and designing smart, energy-efficient infrastructures aligned with sustainable development goals. In addition to concrete use cases, the book provides critical insight into future challenges—including integration, interoperability, and the socio-ethical dimensions of AI-driven green technologies. It also addresses cross-disciplinary methodologies, policy implications, and long-term strategies for climate adaptation and resource-efficient development. Designed as a key resource for researchers, engineers, practitioners, policymakers, and technology consultants, this book offers actionable knowledge for advancing digital governance, sustainable innovation, and intelligent environmental systems.