Ashutosh Kumar Choudhary, Deepak Srivastava and Vibhor Sharma
Abstract
Artificial intelligence (AI) is progressively used in environmental sustainability sectors, providing novel solutions to intricate worldwide issues. This study aims to analyse new artificial intelligence applications in environment management, agricultural production, energy preservation, and waste management, emphasizing their potential to facilitate sustainable development. Recent advancements illustrate AIâs capacity to improve climate projections, air quality prediction, renewable energy integration, and waste management, as well as facilitating the preservation of biodiversity and agricultural sustainability. Deep learning and reinforcement learning algorithms provide enhanced accuracy in weather and pollution forecasts, enhance smart grid functionalities, and advance recycling automation in intelligent urban environments. AI-driven computer vision and machine learning technologies are revolutionizing water purification, habitat surveillance, and agricultural planning by amalgamating various data sources, including satellites, aerial sensors, and drones. These applications mitigate resource inefficiencies, decrease carbon footprints, and guide policy responses. Despite obstacles, AI serves as a crucial facilitator of enduring ecological and social resilience.