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Cloud-Based Big Data Platforms for Monitoring Global Carbon Levels

Cloud-Based Big Data Platforms for Monitoring Global Carbon Levels
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Author(s): Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, India), Nageshwar Nath Pandey (Anand School of Engineering and Technology, Sharda University, India)and Satya Prakash Yadav (Madan Mohan Malaviya University of Technology, Gorakhpur, India)
Copyright: 2025
Pages: 22
Source title: Advanced Systems for Monitoring Carbon Sequestration
Source Author(s)/Editor(s): Hari Mohan Pandey (Bournemouth University, UK), Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, India), Vipin Balyan (Cape Peninsula University of Technology, South Africa)and Satya Prakash Yadav (Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India)
DOI: 10.4018/979-8-3373-2091-5.ch002

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Abstract

The study focuses on the importance of monitoring global carbon levels for climate change, environmental sustainability, and policy-making. It highlights the need for accurate and real-time tracking of carbon emissions to mitigate the effects of global warming and achieve international climate goals. The research proposes a cloud-based big data platform that uses advanced machine learning algorithms, distributed computing, and IoT integration to provide real-time, scalable, and accurate carbon level monitoring. The platform achieves a 30% improvement in data processing speed and a 25% increase in prediction accuracy compared to existing solutions. Its ability to integrate diverse data sources and provide actionable insights sets a new benchmark in the field. This work represents a significant step forward in addressing the global challenge of carbon monitoring, offering a scalable and efficient solution for policymakers and researchers worldwide.

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