"Artificial Intelligence: Driving the Future of Eco-Friendly Environments"

Abstract: The increasing environmental problems of the twenty-first century call for creative approaches that can boost efficiency and sustainability. This review examines the revolutionary role that artificial intelligence (AI) plays in fostering environmentally friendly environments in a number of domains. For example, AI-powered tools in smart waste management optimize collection routes, improve recycling processes, and minimize waste generation. AI-driven solutions in energy efficiency and conservation improve building automation, optimize smart grids, and make it easier to integrate renewable energy sources seamlessly. AI-powered tools in biodiversity and ecosystem monitoring track wildlife, map habitats, and predict the effects of environmental changes, which helps conservation efforts. Moreover, AI's application in sustainable. This review article demonstrates the crucial role artificial intelligence (AI) plays in accomplishing global environmental goals by highlighting the critical advancements and future prospects of AI in supporting sustainable practices and minimizing environmental impacts

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-10
DOI
https://doi.org/10.5281/zenodo.13638168
Primary Topic
COVID-19 impact on air quality
Type
article
Field-Weighted Citation Impact
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article

"Artificial Intelligence: Driving the Future of Eco-Friendly Environments"

Zenodo (CERN European Organization for Nuclear Research)
COVID-19 impact on air quality
article

"Artificial Intelligence: Driving the Future of Eco-Friendly Environments"

article en

Abstract

Abstract: The increasing environmental problems of the twenty-first century call for creative approaches that can boost efficiency and sustainability. This review examines the revolutionary role that artificial intelligence (AI) plays in fostering environmentally friendly environments in a number of domains. For example, AI-powered tools in smart waste management optimize collection routes, improve recycling processes, and minimize waste generation. AI-driven solutions in energy efficiency and conservation improve building automation, optimize smart grids, and make it easier to integrate renewable energy sources seamlessly. AI-powered tools in biodiversity and ecosystem monitoring track wildlife, map habitats, and predict the effects of environmental changes, which helps conservation efforts. Moreover, AI's application in sustainable. This review article demonstrates the crucial role artificial intelligence (AI) plays in accomplishing global environmental goals by highlighting the critical advancements and future prospects of AI in supporting sustainable practices and minimizing environmental impacts

Zenodo (CERN European Organization for Nuclear Research)
G.S. Science, Arts And Commerce College (IN)
Life in Land
Openalex Percentile: Top 68%
COVID-19 impact on air quality
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