AI for Climate-Smart Technologies: A Review of Sustainable Solutions Using IoT and Data Analytics

Article Sidebar

Published: Sep 19, 2025

Main Article Content

Pawan Whig

Abstract

Climate change has accelerated the need for intelligent and sustainable technological solutions. This paper reviews the application of Artificial Intelligence, IoT, and data analytics in climate-smart systems, including smart agriculture, environmental monitoring, and energy optimization. It evaluates machine learning models used for climate prediction, resource management, and emission reduction. The study also addresses challenges related to data scarcity, model uncertainty, and deployment in resource-constrained environments. Future research directions focus on scalable AI solutions, green IoT frameworks, and policy-driven innovation for sustainable development.

Article Details

How to Cite
Whig, P. (2025). AI for Climate-Smart Technologies: A Review of Sustainable Solutions Using IoT and Data Analytics. International Journal of Sustainable Digital and Computing Systems, 2(2). Retrieved from https://publication.shreegprestige.com/index.php/IJSDCS/article/view/26
Issue
Vol. 2 No. 2 (2025): IJSDCS
Section
Articles

References

Whig, P., Sharma, P., Elngar, A. A., & Silva, N. (2025). Artificial intelligence and machine learning for advanced data-driven systems. CRC Press.

Whig, P., Sharma, P., & Yathiraju, N. (2025). Cutting-edge solutions for advancing sustainable development: Exploring technological horizons for sustainability (Part 1). Bentham Science Publishers.

Whig, P., Yathiraju, N., & Sharma, P. (2025). Cutting-edge solutions for advancing sustainable development: Exploring technological horizons for sustainability (Part 2). Bentham Science Publishers.

Whig, P., & Elngar, A. (2025). AI innovations for transforming food production. IGI Global.

Whig, P., & Elngar, A. (2025). Modernizing the food industry: AI-powered infrastructure, security, and supply chain innovation. IGI Global.

Whig, P., Sharma, P., Elngar, A. A., & Silva, N. (2025). Quantum learning: Bridging artificial intelligence, quantum computing, and data science in education. CRC Press.

Rather, R., Vats, H., Sharma, S., & Whig, P. (2025). AI and ML applications in data-informed leadership: Transforming higher education. In Advances in data science driven technologies (Vol. 5, pp. 36–53). Bentham Science.

Whig, P., Silva, N., Elngar, A. A., Aneja, N., & Sharma, P. (2025). Sustainable development through machine learning, AI and IoT: Proceedings of ICSD 2025 (Part I). Springer.

Whig, P., Silva, N., Elngar, A. A., Aneja, N., & Sharma, P. (2025). Sustainable development through machine learning, AI and IoT: Proceedings of ICSD 2025 (Part II). Springer.

Whig, P., et al. (2025). Shield-Pay: Secure healthcare encryption and integrated ledger for data and payments authentication yield (Patent application). Government of India.