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Role of IoT, AI, and ML in Carbon Management: A Convergence of Technologies for Efficient Monitoring and Analysis
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Author(s): Sandeep Bhatia (School of Computing Science and Engineering, Galgotias University, Greater Noida, India), Soniya Verma (KIET Group of Institutions, Ghaziabad, India), Neha Goel (Raj Kumar Goel Institute of Technology, Ghaziabad, India), Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, Ghaziabad, India)and Gunjan Gupta (Cape Peninsula University of Technology, South Africa)
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.ch020
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Abstract
The integration of Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) is revolutionizing carbon management by enabling precise monitoring, predictive analysis, and automated decision-making. IoT plays a pivotal role in carbon management by deploying smart sensor networks that continuously monitor carbon flux in terrestrial and marine ecosystems. These sensors collect real-time data on greenhouse gas (GHG) concentrations, soil organic carbon, oceanic carbon absorption, and industrial emissions. ML techniques allowing for the early detection of carbon cycle anomalies and enhancing strategies such as reforestation, soil carbon enrichment, and ocean-based carbon capture. Additionally, edge computing in IoT devices ensures decentralized data processing, reducing latency and enhancing real-time decision-making. This chapter explores the convergence of IoT, AI, and ML in carbon management systems, discussing their applications, challenges, and future potential. Chapter shows the machine learning algorithms for detecting carbon emission in air.
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