AI for Natural Resources Management, Policy Preparation, and Application by Bhandari, Medani P.;

Long description:

As the world enters the era of artificial intelligence (AI), its transformative potential in managing natural resources and shaping sustainable policies has become increasingly evident. This groundbreaking book explores the critical intersection of AI and natural resource management (NRM), offering a comprehensive guide to leveraging AI to address environmental challenges, optimize resource use, and craft informed, equitable policies. Key takeaways include the power of AI-driven predictive analytics for anticipating environmental risks, the role of machine learning in enhancing resource efficiency, and the ethical considerations vital for inclusive and transparent decision-making. This book also emphasizes AI's capacity to integrate diverse datasets, enabling more accurate and holistic approaches to managing ecosystems and resources. This book provides actionable insights into AI's practical applications. It is designed for a wide range of stakeholders, including policymakers, environmental practitioners, researchers, and technology developers. Policymakers will find guidance on creating data-informed strategies for sustainability, while environmentalists can explore innovative conservation and resource optimization tools. Researchers and technologists will benefit from discussing advancing AI methodologies tailored to environmental contexts. By bridging the gap between cutting-edge AI technologies and their real-world applications, AI for Natural Resources Management, Policy Preparation, and Application empowers stakeholders to address pressing global challenges. Whether combating climate change, preserving biodiversity, or promoting equitable resource distribution, this book equips readers with the knowledge and strategies to make a meaningful impact. Join the movement to harness AI’s potential for a sustainable future—this book is your roadmap to innovation, collaboration, and transformative change in natural resource management.