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Integrating AI, IoT, and Data Science for a Comprehensive Carbon Management System
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Author(s): Saurabh Singhal (Greater Noida Institute of Technology, India), Ajeet Kumar Sharma (Department of CSE, Sharda School of Computing Science & Engineering (SSCSE), Sharda University, Greater Noida, India), Avinash Kumar Sharma (Department of CSE, Sharda School of Computing Science & Engineering (SSCSE), Sharda University, Greater Noida, India)and Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, Ghaziabad, India)
Copyright: 2025
Pages: 28
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.ch010
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Abstract
Climate change and environmental sustainability are critical global issues, necessitating new-age solutions for monitoring and reducing carbon emissions. New technologies like AI, IoT, and Data Science are revolutionizing carbon management by providing new-age solutions. This paper presents the integration of these technologies into an end-to-end Carbon Management System (CMS) for enhanced real-time monitoring, predictive insights, and decision-making for effective carbon footprint reduction. Traditional carbon monitoring involves periodic surveys, without real-time analysis and predictive data.
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