Paper Title
Facial Recognition for Wildlife Conservation
Article Identifiers
Authors
Naitik Jain , Priya Bharti , Pranjal Kumar
Keywords
African elephant, facial recognition, wildlife conservation, population dynamics, anti-poaching.
Abstract
African elephants (Loxodonta africana) are iconic and endangered species facing numerous threats including habitat loss, poaching, and human-wildlife conflict. Conservation efforts demand accurate monitoring and management strategies, which traditional methods struggle to provide efficiently and non-invasively. In recent years, facial recognition technology has emerged as a promising tool for wildlife conservation, particularly for the identification and monitoring of individual elephants. This paper presents a comprehensive review of the application of facial recognition technology in African elephant conservation, exploring its methodologies, benefits, challenges, and future prospects.
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How To Cite (APA)
Naitik Jain, Priya Bharti, & Pranjal Kumar (April-2024). Facial Recognition for Wildlife Conservation. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), i281-i286. https://ijnrd.org/papers/IJNRD2404837.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : i281-i286
Other Publication Details
Paper Reg. ID: IJNRD_219933
Published Paper Id: IJNRD2404837
Downloads: 000121976
Research Area: Engineering
Country: Kharar, Punjab, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404837.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404837
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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