Elephants and algorithms: a review of the current and future role of AI in elephant monitoring

Abstract

Artificial intelligence (AI) and machine learning (ML) present revolutionary opportunities to enhance our understanding of animal behaviour and conservation strategies. Using elephants, a crucial species in Africa and Asia’s protected areas, as our focal point, we delve into the role of AI and ML in their conservation. 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.

Reviewing the role of AI in environmental monitoring and conservation: A data-driven revolution for our planet

“…The clarity of elucidation is complemented by concrete examples that vividly demonstrate the tangible impact of AI in safeguarding ecosystems. From tracking elephant poaching routes in Africa to identifying illegal logging activities in the Amazon rainforest, AI emerges as a guardian of biodiversity and a catalyst for sustainable environmental practices (Brickson et al, 2023, Dorfling et al, 2023.…”