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African elephants are vital to their ecosystems, but their populations are threatened by a rise in human-elephant conflict and poaching. Monitoring population dynamics is essential in conservation efforts; however, tracking elephants is a…

Machine Learning · Computer Science 2021-07-01 Peter Kulits , Jake Wall , Anka Bedetti , Michelle Henley , Sara Beery

Illegal wildlife poaching is driving the loss of biodiversity. To combat poaching, rangers patrol expansive protected areas for illegal poaching activity. However, rangers often cannot comprehensively search such large parks. Thus, the…

Machine Learning · Computer Science 2020-11-24 Rachel Guo , Lily Xu , Drew Cronin , Francis Okeke , Andrew Plumptre , Milind Tambe

Elephant-human conflict (EHC) is one of the major problems in most African and Asian countries. As humans overutilize natural resources for their development, elephants' living area continues to decrease; this leads elephants to invade the…

Multiagent Systems · Computer Science 2022-01-10 Weiyun Jiang , Yukai Yang , Yogananda Isukapalli

Artificial intelligence (AI) and machine learning (ML) present revolutionary opportunities to enhance our understanding of animal behavior and conservation strategies. Using elephants, a crucial species in Africa's protected areas, as our…

Artificial Intelligence · Computer Science 2024-02-13 Leandra Brickson , Fritz Vollrath , Alexander J. Titus

In this work, we consider applying machine learning to the analysis and compression of audio signals in the context of monitoring elephants in sub-Saharan Africa. Earth's biodiversity is increasingly under threat by sources of anthropogenic…

Understanding the movement of animals is crucial to conservation efforts. Past research often focuses on factors affecting movement, rather than locations of interest that animals return to or habitat. We explore the use of clustering to…

Machine Learning · Computer Science 2021-11-08 Gregory Glatzer , Prasenjit Mitra , Johnson Kinyua

Wildlife populations in Africa face severe threats, with vertebrate numbers declining by over 65% in the past five decades. In response, image classification using deep learning has emerged as a promising tool for biodiversity monitoring…

The rapid decline in global biodiversity demands innovative conservation strategies. This paper examines the use of artificial intelligence (AI) in wildlife conservation, focusing on the Conservation AI platform. Leveraging machine learning…

Computer Vision and Pattern Recognition · Computer Science 2024-09-18 Paul Fergus , Carl Chalmers , Steve Longmore , Serge Wich

Identifying animals from a large group of possible individuals is very important for biodiversity monitoring and especially for collecting data on a small number of particularly interesting individuals, as these have to be identified first…

Computer Vision and Pattern Recognition · Computer Science 2018-12-12 Matthias Körschens , Björn Barz , Joachim Denzler

Anthropogenic activities pose threats to wildlife and marine fauna, prompting the need for efficient animal counting methods. This research study utilizes deep learning techniques to automate counting tasks. Inspired by previous studies on…

Computer Vision and Pattern Recognition · Computer Science 2023-06-21 Tanya Singh , Hugo Gangloff , Minh-Tan Pham

The interaction between elephants and their environment has profound implications for both ecology and conservation strategies. This study presents an analytical approach to decipher the intricate patterns of elephant movement in…

Populations and Evolution · Quantitative Biology 2023-07-24 Matthew Hines , Gregory Glatzer , Shreya Ghosh , Prasenjit Mitra

Can a regulated, legal market for wildlife products protect species threatened by poaching? It is one of the most controversial ideas in biodiversity conservation. Perhaps the most convincing reason for legalizing wildlife trade is that…

Populations and Evolution · Quantitative Biology 2021-03-24 Matthew H. Holden , Jakeb Lockyer

Deforestation is gaining an increasingly importance due to its strong influence on the sorrounding environment, especially in developing countries where population has a disadvantaged economic condition and agriculture is the main source of…

Computer Vision and Pattern Recognition · Computer Science 2025-09-25 Gabriele Sartor , Matteo Salis , Stefano Pinardi , Ozgur Saracik , Rosa Meo

Poaching poses significant threats to wildlife and biodiversity. A valuable step in reducing poaching is to forecast poacher behavior, which can inform patrol planning and other conservation interventions. Existing poaching prediction…

Machine Learning · Computer Science 2025-08-29 Lingkai Kong , Haichuan Wang , Charles A. Emogor , Vincent Börsch-Supan , Lily Xu , Milind Tambe

Cattle farming is responsible for 8.8\% of greenhouse gas emissions worldwide. In addition to the methane emitted due to their digestive process, the growing need for grazing areas is an important driver of deforestation. While some…

Computer Vision and Pattern Recognition · Computer Science 2020-11-17 Issam Laradji , Pau Rodriguez , Freddie Kalaitzis , David Vazquez , Ross Young , Ed Davey , Alexandre Lacoste

Detecting elephants through seismic signals is an emerging research topic aimed at developing solutions for Human-Elephant Conflict (HEC). Despite the promising results, such solutions heavily rely on manual classification of elephant…

Machine Learning · Computer Science 2025-09-10 Jaliya L. Wijayaraja , Janaka L. Wijekoon , Malitha Wijesundara

Many different species are adversely affected by poaching. In response to this escalating crisis, efforts to stop poaching using hidden cameras, drones and DNA tracking have been implemented with varying degrees of success. Limited…

Computer Vision and Pattern Recognition · Computer Science 2019-10-17 C. Chalmers , P. Fergus , Serge Wich , Aday Curbelo Montanez

Unsustainable trade in wildlife is a major threat to biodiversity and is now increasingly prevalent in digital marketplaces and social media. With the sheer volume of digital content, the need for automated methods to detect wildlife trade…

Computer Vision and Pattern Recognition · Computer Science 2025-09-11 Ritwik Kulkarni , WU Hanqin , Enrico Di Minin

Much of Earth's charismatic megafauna is endangered by human activities, particularly the rhino, which is at risk of extinction due to the poaching crisis in Africa. Monitoring rhinos' movement is crucial to their protection but has…

Computer Vision and Pattern Recognition · Computer Science 2024-09-27 Lucia Gordon , Nikhil Behari , Samuel Collier , Elizabeth Bondi-Kelly , Jackson A. Killian , Catherine Ressijac , Peter Boucher , Andrew Davies , Milind Tambe

We develop a Random Forest model to estimate the species distribution of Asian elephants in India and study the inter and intra-annual spatiotemporal variability of habitats suitable for them. Climatic, topographic variables and…

Machine Learning · Computer Science 2024-04-16 P. Anjali , Deepak N. Subramani
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