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Artificial intelligence AI and machine learning ML present revolutionary opportunities to enhance our understanding of animal behavior and conservation strategies. Given the increasing amounts of data gathered from a variety of sensors like cameras, microphones, geophones, drones, and satellites, the challenge lies in managing and interpreting this vast data.
New AI and ML techniques offer solutions to streamline this process, helping us extract vital information that might otherwise be overlooked.
This paper focuses on the different AI-driven monitoring methods and their potential for improving elephant conservation. Collaborative efforts between AI experts and ecological researchers are essential in leveraging these innovative technologies for enhanced wildlife conservation, setting a precedent for numerous other species.
Elephants hold significant intrinsic, biological, ecological, and human cultural value. They possess unique genetic and physiological features [ 1 ] , exhibit high-levels of individual cognitive and emotional intelligence [ 2 , 3 , 4 ] , maintain complex social behaviors and structures [ 5 , 6 , 7 , 8 , 9 ] , serve as keystone species in their respective ecosystems [ 10 , 11 , 12 ] , are highly valued by their local communities [ 13 ] and serve as flagship species for animal conservation [ 14 ].