Leveraging AI for Environmental Solutions addressing Climate Change, Pollution Monitoring and Sustainable Resource Management
Year: 2025
Type: conference-paper
Abstract: . Artificial Intelligence (AI) has emerged as a transformative tool in addressing critical environmental challenges, including climate change, pollution monitoring, and sustainable resource management. This review synthesizes recent advancements and applications of AI techniques in these domains, highlighting key findings and identifying future research directions. In climate science, AI has significantly enhanced the accuracy of climate models and optimized renewable energy deployment, contributing to effective mitigation strategies. For pollution monitoring, AI-driven systems offer real-time detection and analysis, surpassing traditional methods in precision and scalability. In sustainable resource management, AI optimizes agricultural practices, forest conservation, and water resource allocation, promoting efficiency and sustainability. Despite these promising advancements, challenges such as data quality, model interpretability, integration with existing systems, and ethical considerations remain.
Source: Materials research proceedings
Author: Noreen Sher AKBAR
Institution: Prince Mohammad bin Fahd University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: hybrid
OpenAlex ID: W4407402792
