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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Women Empowerment and Gender Equality in India: A Strategic Imperative for Viksit Bharat

Authors: Talreja, Harshita Deepak;

Women Empowerment and Gender Equality in India: A Strategic Imperative for Viksit Bharat

Abstract

Artificial Intelligence (AI) is emerging as an effective tool for forest conservation and ecosystem protection. Forests across the world face increasing threats such as deforestation, illegal logging, habitat loss, and climate-related disturbances. Traditional monitoring systems are often slow and limited, making it difficult to observe rapid environmental changes over large forest regions. AI overcomes these challenges by providing faster analysis, higher accuracy, and continuous monitoring. Using satellite imagery, drone footage, and sensor data, AI models can detect early signs of forest loss, vegetation stress, or unauthorized land clearing. This early detection gives forest officials and conservation teams the ability to act quickly and prevent long-term ecological damage. AI also improves wildlife protection. Through automated analysis of camera-trap images and audio recordings, machine-learning systems can identify endangered species, track animal movement, and detect threats such as poaching or habitat disturbance. AI supports forest safety by predicting wildfire risks. By analyzing temperature, wind, humidity, and historical fire data, AI can generate early warnings that help authorities prepare and reduce the impact of fires. AI is also useful in guiding reforestation by identifying suitable planting areas and monitoring restoration progress.AI strengthens human conservation efforts by delivering real-time insights and reliable environmental predictions, helping protect forests and biodiversity.

Keywords

Artificial Intelligence, Climate Change, Ecosystem Protection, Sustainability, Environmental Monitoring.

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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
Related to Research communities
Italian National Biodiversity Future Center
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