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Internet of Things for Carbon Market Approach in Reducing Greenhouse Gas Emissions

Adewumi Adebayo et al · College of Engineering of Afe Babalola University, Ado-Ekiti (ABUAD), Ekiti State, Nigeria · 2026

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Carbon markets rely on accurate and timely emissions data, but many monitoring methods still lack real-time, reliable measurements. This research addresses this gap by developing and implementing an Internet of Things (IoT)-driven system for real-time monitoring of greenhouse gas emissions, with a focus on CO₂. A sensor mote comprising a CO₂ sensor and a microcontroller was built. The system collects accurate CO₂ measurements, transmits it to the cloud, and displays the readings directly, ensuring transparency and preventing unauthorized alteration. The results indicate that IoT technology provides accurate measurements. CO₂ concentrations recorded were 813.43 ± 54.25 ppm in the Hostel Quadrangle (an open area) and 1013.47 ± 47.66 ppm in the Design Studio (an enclosed space). This display strengthens the carbon market data credibility, allowing stakeholders to rely on the measurements for carbon credit allocation and make better decisions for air quality management.

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APA 7

al, A. A. E. (2026). Internet of Things for Carbon Market Approach in Reducing Greenhouse Gas Emissions. https://doi.org/10.53982/ajerd.2026.0901.27-j

MLA

al, Adewumi Adebayo et. "Internet of Things for Carbon Market Approach in Reducing Greenhouse Gas Emissions." 2026. https://doi.org/10.53982/ajerd.2026.0901.27-j.

Chicago

al, Adewumi Adebayo et. 2026. "Internet of Things for Carbon Market Approach in Reducing Greenhouse Gas Emissions.". https://doi.org/10.53982/ajerd.2026.0901.27-j.

Harvard

al, A. A. E. 2026, Internet of Things for Carbon Market Approach in Reducing Greenhouse Gas Emissions, College of Engineering of Afe Babalola University, Ado-Ekiti (ABUAD), Ekiti State, Nigeria, available at: https://doi.org/10.53982/ajerd.2026.0901.27-j [Accessed 28 Jun. 2026].

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Título
Internet of Things for Carbon Market Approach in Reducing Greenhouse Gas Emissions
Autor / colaboradores
Adewumi Adebayo et al
Editorial
College of Engineering of Afe Babalola University, Ado-Ekiti (ABUAD), Ekiti State, Nigeria
Año de publicación
2026
ISSN
2756-6811
ISSN
2756-6811
Idioma
eng

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