Data Mining for the Prediction of Environmental Changes by Carbon Footprint

The total amount of greenhouse gases that people, businesses, industries, or activities emit, either directly or indirectly, is known as their “carbon footprint.” It acts as a gauge for how human activity affects the environment and fuels climate change. All emissions produced throughout the manufacturing, use, and disposal phases of goods and services are considered when calculating this footprint. Lowering a carbon footprint can be accomplished through strategies such as utilizing renewable energy reduce energy use, opting for public transport, implementing sustainable agricultural and food practices, and reducing waste through recycling. By taking steps to minimize carbon footprints, both individuals and organizations can play a critical role in combating climate change and promoting environmental sustainability. To reduce carbon footprints, enhance sustainable development, and properly forecast environmental changes by using data mining methods to provide actionable insights. It proposes a carbon footprint app that actively calculates the carbon footprint of the individual. The app stores the data of the individual and validates the user's carbon footprint every month and encourages the users with attractive gift vouchers as incentives depending on the percentage reduction of their carbon footprint. The user can customize the incentives as per their need. This encourages the users to actively participate in carbon footprint reduction and save the earth from climatic changes.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icicnis64247.2024.10823260
Citations
2
Primary Topic
Data Management and Algorithms
Type
article
Field-Weighted Citation Impact
0.70
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article

Data Mining for the Prediction of Environmental Changes by Carbon Footprint

S. Naderi Salim, L. N. Ramya, L. Chitra, P Poornima et al.
2 citations
Data Management and Algorithms
0.70
article

Data Mining for the Prediction of Environmental Changes by Carbon Footprint

S. Naderi Salim, L. N. Ramya, L. Chitra, P Poornima, Abdul Rahman Shike
article en
2 citations

Abstract

The total amount of greenhouse gases that people, businesses, industries, or activities emit, either directly or indirectly, is known as their “carbon footprint.” It acts as a gauge for how human activity affects the environment and fuels climate change. All emissions produced throughout the manufacturing, use, and disposal phases of goods and services are considered when calculating this footprint. Lowering a carbon footprint can be accomplished through strategies such as utilizing renewable energy reduce energy use, opting for public transport, implementing sustainable agricultural and food practices, and reducing waste through recycling. By taking steps to minimize carbon footprints, both individuals and organizations can play a critical role in combating climate change and promoting environmental sustainability. To reduce carbon footprints, enhance sustainable development, and properly forecast environmental changes by using data mining methods to provide actionable insights. It proposes a carbon footprint app that actively calculates the carbon footprint of the individual. The app stores the data of the individual and validates the user's carbon footprint every month and encourages the users with attractive gift vouchers as incentives depending on the percentage reduction of their carbon footprint. The user can customize the incentives as per their need. This encourages the users to actively participate in carbon footprint reduction and save the earth from climatic changes.

Vinayaka Missions University (IN)
Climate action
Openalex Percentile: Top 28%
Data Management and Algorithms
0.70
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Data Mining for the Prediction of Environmental Changes by Carbon Footprint — S. Naderi Salim, L. N. Ramya, et al. · (2024) | TGRS Research Map | TGRS