Large and small-scale applications of AI and ML to prevent and detect climate change: A review

Abstract: Research conducted on environmental factors and the causes of changing climate has been increasing since the last few decades as a rapid decrease in the quality of air, oceans, and water has been noticed. Artificial Intelligence and Machine Learning being existing for so many years have made their way through many theoretical and practical applications in almost every field of research. But combining such technologies to tackle the factors leading to climate change has proven to be ground-breaking. Owing to this more and more researches are being conducted using this fusion and many real-time models are also used today to provide environmental data so that both the major environmental-based companies and a common human being can act upon their parts of contributing to the environment. The present review elaborates in detail the many applications of AI and ML being used by some of the major multi-national corporations as well as the researchers to present their ideas and experiments using these advanced tools to offer efficiency in practices used by people in our community. These practices span from agricultural irrigation methods to detecting the pollution in the air and its source. The review also details the truth behind the real-time application of AI being used by Microsoft, Google, and IBM, and other big companies to help in preventing climate change.

Keywords: Climate Change, Machine Learning, Artificial Intelligence, Microsoft Azure, DeepMinds, Green Horizons.