As climate change rises, the need for strategies to predict and manage environmental risks increases. Green artificial intelligence (Green AI) emerges as a powerful tool, harnessing advanced machine learning and data analytics to monitor climate patterns, forecast extreme weather events, and assess environmental vulnerabilities with accuracy. By processing satellite, sensor, and atmospheric data, AI-driven models enable scientists, policymakers, and communities to make informed decisions that mitigate the impact of floods, droughts, wildfires, and other climate threats. Through sustainable and intelligent technology, Green AI helps organizations move toward a future defined by resilience, foresight, and environmental stewardship. Predicting and Monitoring Climate Risks Through Green AI: Weather Forecasting, Disaster Prediction, and Biodiversity Monitoring explores how AI reshapes solutions for a greener, more sustainable environment. It examines intelligent technologies as tools for renewable energy system optimization, smart city building, and agricultural and ecosystem revolution. This book covers topics such as smart cities, green technology, and renewable energy, and is a useful resource for business owners, engineers, academicians, researchers, and environmental scientists.
