Protecting endangered megafauna through AI analysis of drone images in a low-connectivity setting: a case study from Namibia

Assessing the numbers and distribution of at-risk megafauna such as the black rhino (Diceros bicornis) is key to effective conservation, yet such data are difficult to obtain. Many current monitoring technologies are invasive to the target animals and expensive. Satellite monitoring is emerging as a...

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Detalles Bibliográficos
Autores principales: Hua, Alice, Martin, Kevin, Shen, Yuzeng, Chen, Nicole, Mou, Catherine, Sterk, Maximilian, Reinhard, Berend, Reinhard, Friedrich F., Lee, Stephen, Alibhai, Sky, Jewell, Zoe C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Conservation Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356584/
https://www.ncbi.nlm.nih.gov/pubmed/35942123
http://dx.doi.org/10.7717/peerj.13779

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356584/
https://www.ncbi.nlm.nih.gov/pubmed/35942123
http://dx.doi.org/10.7717/peerj.13779

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