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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Artificial intelligence in climate science and Long-Term Environmental Health and Green Future -Prediction Monitoring and Green technology

Authors: Sonali Purushottam Kumawat;

Artificial intelligence in climate science and Long-Term Environmental Health and Green Future -Prediction Monitoring and Green technology

Abstract

This paper discusses and examines ways to enhance environmental sustainability through the use of Artificial Intelligence (AI). The integration of Artificial Intelligence contributes to environmental sustainability by enabling the detection and monitoring of green land, supporting efforts in climate stabilisation, sustainable agriculture and ecosystem conservation. The research focuses on identifying regions with existing vegetation and detecting vacant or unused land appropriate for plantation activities. It enables users to easily identify regions rich in plant life as well as those lacking vegetation, aiding in strategic environmental planning. The app was developed to display the satellite images and the corresponding output. By analysing satellite imagery, the app provides a visual overview of plant distribution and vacant land. The proposed application uses AI and remote sensing data to provide accurate vegetation mapping and identify empty spaces. By identifying both planted and barren zones, the app contributes to better land management and ecosystem planning.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green