000			a
999			_c23294 _d23294
003			OSt
005			20250811114232.0
008			250811b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_927021 _aJohn, Renju
245			_aAI-driven solutions for mitigating human-wildlife conflict in biodiversity hotspots
250			_aVol.17(1), Feb
260			_aHyderabad _bIUP Publications _c2024
300			_a43-53p.
520			_aHuman-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	_94619 _aEXTC Engineering
700			_927022 _aFiza Akbar
773	0		_tIUP Journal of telecommunications _dHyderabad IUP Publications _x0975-5551
856			_uhttps://iupindia.in/ViewArticleDetails.asp?ArticleID=7757 _yClick here
942			_2ddc _cAR