Abstract

Climate change is a global menace. It is one of the greatest problems the world is currently battling with. A high level of carbon emission, because of increasing human industrial activities, is one of the major culprits of climate change. The effect of climate change cannot be underestimated. Extreme heat, rising sea levels, massive flooding and cyclone, and drought are some of the challenges that arose with climate change. There are many ways through which carbon dioxide is been emoted into the atmosphere, but this study focuses on emissions from automobile vehicles.

Machine learning, artificial intelligence and data science are widely used across various sectors like finance, healthcare, agriculture and so on, and this has turnaround our modern lifestyle. In recent times, machine learning knowledge has now been applied to climate change. The machine learning algorithm can be used to predict different aspects of carbon accounting based on various available historical data.

This work used a linear algorithm model to predict carbon emission of various brands of vehicles and it has a performance level of eighty-four per cent.

Machine learning prediction of carbon emission radiation from vehicles and engines and how to increase performance of the algorithm