Hostname: page-component-77f85d65b8-6bnxx Total loading time: 0 Render date: 2026-03-28T03:58:58.829Z Has data issue: false hasContentIssue false

Can artificial intelligence support Bactrian camel conservation? Testing machine learning on aerial imagery in Mongolia’s Gobi Desert – CORRIGENDUM

Published online by Cambridge University Press:  05 November 2025

Rights & Permissions [Opens in a new window]

Abstract

Information

Type
Corrigendum
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Foundation for Environmental Conservation
Figure 0

Figure 1. Map of the study area in the Mongolian Gobi Desert. The map shows the boundaries of Dornogovi, Ömnögovi, Bayankhongor and Govi-Altai aimags (provinces), with black dots indicating camel survey locations.

Figure 1

Figure 1. Map of the study area in the Mongolian Gobi Desert. The map shows the boundaries of Dornogovi, Ömnögovi, Bayankhongor and Govi-Altai aimags (provinces), with black dots indicating camel survey locations.