AI-driven Tools for Wildlife Surveillance and Anti-Poaching Efforts

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Authors: P. Selvakumar, Mahender Reddy Bobbala, Sirikonda Shwetha, Naresh Kumar Sripada, T. C. Manjunath, E. Sreedevi
Cited by: 0
References: 28

Abstract

Poaching poses one of the most pressing and destructive threats to global biodiversity in the 21st century. This illegal hunting, capturing, or killing of wildlife not only endangers species but also destabilizes ecosystems, fuels criminal networks, and undermines conservation efforts across continents. While the term “poaching” may conjure images of ivory tusks its reach is far broader and more insidious. From endangered big cats in Asia to pangolins in Africa and sea turtles in the Americas, poaching spans nearly every continent and involves an array of species, each crucial to their respective habitats. As the threat escalates, conservationists and technology experts are turning to artificial intelligence (AI) as a transformative solution to detect, deter, and combat poaching on a global scale. The scale of poaching is staggering. According to the World Wildlife Fund (WWF), over 20,000 African elephants are killed each year for their tusks. The black rhino population has plummeted by over 90% in the past few decades due to rampant poaching.

Fields of Study & Subjects

Wildlife Conservation and Criminology Analyses Wildlife Ecology and Conservation Smart Agriculture and AI

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
1–28
Publication date
6 February 2026
Document type
Book chapter