AI-driven solutions for mitigating human-wildlife conflict in biodiversity hotspots (Record no. 23294)

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control field 20250811114232.0
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fixed length control field 250811b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
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9 (RLIN) 27021
Author John, Renju
245 ## - TITLE STATEMENT
Title AI-driven solutions for mitigating human-wildlife conflict in biodiversity hotspots
250 ## - EDITION STATEMENT
Volume, Issue number Vol.17(1), Feb
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Hyderabad
Name of publisher, distributor, etc. IUP Publications
Year 2024
300 ## - PHYSICAL DESCRIPTION
Pagination 43-53p.
520 ## - SUMMARY, ETC.
Summary, etc. Human-wildlife conflict (HWC) is a rising concern in biodiversity hotspots such as Wayanad, Kerala, where agricultural loss, property damage, and human casualties due to wildlife incursions have intensified. With elephant intrusions alone contributing to over 60% of reported conflict events in the region, traditional mitigation strategies—like trenching and electric fencing— have proven both reactive and limited in effectiveness. This paper explores AI-driven solutions as a proactive and scalable response. By combining satellite imagery, GPS tracking, and realtime sensor data, it has developed a predictive model capable of detecting conflict risk zones and alerting stakeholders in near real time. The approach improves prediction accuracy over legacy systems by 23% and enables faster mobilization of response teams. The findings underscore the viability of integrating Edge AI and remote sensing into conservation efforts, offering a sustainable model for managing HWC across India’s forest fringes.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4619
Topical term or geographic name entry element EXTC Engineering
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9 (RLIN) 27022
Co-Author Fiza Akbar
773 0# - HOST ITEM ENTRY
Title IUP Journal of telecommunications
Place, publisher, and date of publication Hyderabad IUP Publications
International Standard Serial Number 0975-5551
856 ## - ELECTRONIC LOCATION AND ACCESS
URL https://iupindia.in/ViewArticleDetails.asp?ArticleID=7757
Link text Click here
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Koha item type Articles Abstract Database
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    Dewey Decimal Classification     School of Engineering & Technology School of Engineering & Technology Archieval Section 11/08/2025   2025-1292 11/08/2025 11/08/2025 Articles Abstract Database
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