| Issue |
E3S Web Conf.
Volume 670, 2025
2nd International Conference on the Agro-Environmental Nexus: Land, Water & Energy for Sustainable Development (IC-AEN 2025)
|
|
|---|---|---|
| Article Number | 05006 | |
| Number of page(s) | 6 | |
| Section | Climate Risk Adaptation and Nature-Based Solutions in Rural Landscapes | |
| DOI | https://doi.org/10.1051/e3sconf/202567005006 | |
| Published online | 01 December 2025 | |
Artificial intelligence for environmental sustainability: Applications in climate modelling, resource management, and green technologies
1 M. Auezov South Kazakhstan University, Shymkent, Kazakhstan
2 University of friendship of people’s academician A. Kuatbekov, Shymkent, Kazakhstan
3 Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan
4 Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan
5 South Kazakhstan Pedagogical University named after Ozbekali Zhanibekov, Shymkent, Kazakhstan
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Artificial intelligence (AI) plays a crucial role in advancing environmental sustainability by optimizing resource management, improving climate modeling, and supporting green technologies. This study explores the applications of AI techniques, including machine learning, deep learning, and expert systems, in monitoring environmental changes, predicting climate patterns, and enhancing energy efficiency. The paper highlights AI-driven approaches for reducing carbon emissions, managing renewable energy systems, and analyzing air and water quality data. Additionally, the research discusses ethical considerations and future prospects of AI in promoting sustainable development and mitigating environmental risks. The findings emphasize AI's transformative potential in addressing global environmental challenges and fostering a more sustainable future.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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