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Machine Learning for a Greener World: Tackling Climate Change Challenges

Book Title: Exploring the Frontiers of Artificial Intelligence and Machine Learning Technologies

Editors:  Mr. Agha Urfi Mirza and Dr. Balraj Kumar

ISBN:  978-81-970457-9-0

Chapter: 5

DOI:    https://doi.org/10.59646/efaimltC5/133

Authors:   Dr. Mintu Debnath1 and Dr. S. Arunarani2

1Assistant Professor, Department of Physics, Chakdaha College, Nadia, West Bengal, India.
2Assistant Professor, Department of Computer Applications, SRM Institute of Science and Technology, Faculty of Science and Humanities, Kattankullathur, Tamil Nadu, India.

Abstract:

“Machine Learning for a Greener World: Tackling Climate Change Challenges explores the potential of machine learning (ML) and artificial intelligence (AI) to address the urgent issues posed by climate change. The chapter begins by highlighting the power of ML and AI in revolutionizing climate modeling and prediction, enabling more accurate and sophisticated models that enhance our understanding of climate dynamics and support proactive measures to mitigate its adverse effects. It then examines ML applications in predicting climate patterns and trends, and discusses how ML can be employed for real-time environmental monitoring, biodiversity conservation, and ecosystem management. The chapter also explores how ML optimizes resource utilization, promoting efficiency in various sectors, and how ML aids in developing adaptive strategies based on climate forecasts., the chapter envisions a future where AI and indigenous knowledge collaboratively contribute to environmental stewardship, outlining a trajectory for a synergistic coexistence between machine learning technologies and traditional knowledge, fostering a sustainable and resilient world.

References

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