Invasive species represent a major threat to biodiversity, ecosystems, and global economies, contributing to habitat destruction, species loss, and the disruption of ecological functions. Conventional methods for managing these species often prove inadequate due to limitations in resources, inefficiencies in monitoring large areas, delayed responses, and challenges in forecasting their spread. With increasing pressure from factors like climate change and human activities, there is a pressing need for more effective, scalable, and adaptable approaches. Artificial intelligence applications in conservation efforts may transform the management of invasive species and strengthen biodiversity conservation efforts, enhancing early detection, tracking, and control. Harnessing AI for Invasive Species Management and Biodiversity Conservation examines the challenges of integrating AI into ecological management, including concerns about data privacy, algorithm transparency, and the need for rigorous validation processes. It highlights how AI can serve as a powerful complement to traditional conservation strategies, providing innovative and sustainable solutions to combat the growing issue of invasive species. This book covers topics such as climate change, ecology, and sustainable development, and is a useful resource for business owners, engineers, policymakers, biologists, academicians, researchers, and environmental scientists.