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AI and Machine Learning Applications in Green Technology: Sectoral Innovations for Environmental Sustainability

Dimpal Verma*, Nidhi Gupta**, Anshika***, Mamta Yadav****, Khadim Moin Siddiqui*****, Beer Singh******

*-**** Department of Electronics and Communication Engineering, S. R. Institute of Management and Technology, Lucknow, Uttar Pradesh, India.

***** Department of Electrical and Electronics Engineering, S.R. Institute of Management and Technology, Lucknow, Uttar Pradesh, India.

****** S.R. Institute of Management and Technology, Lucknow, Uttar Pradesh, India.

Periodicity:July - December'2025

Abstract

The growing severity of global environmental challenges necessitates intelligent and sustainable solutions. This paper examines the role of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing green technologies across domains such as renewable energy, waste management, agriculture, and smart cities. It highlights how AI/ML enable pollution monitoring, energy optimization, waste reduction, and efficient food production, supported by real-world applications. The paper also discusses challenges related to ethics, data privacy, and equitable access, and outlines future research directions for advancing sustainable development through AI-driven innovations.

Keywords

AI, ML, Environmental Sustainability, Green Technology, Renewable Energy, Waste Management.

How to Cite this Article?

Verma, D., Gupta, N., Anshika, Yadav, M., Siddiqui, K. M., and Singh, B. (2025). AI and Machine Learning Applications in Green Technology: Sectoral Innovations for Environmental Sustainability. International Journal of Data Mining Techniques and Applications, 14(2), 30-41.

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