Will artificial intelligence revolutionize aerial surveys? A first large-scale semi-automated survey of African wildlife using oblique imagery and deep learning-Reference-Cited by-同舟云学术

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Will artificial intelligence revolutionize aerial surveys? A first large-scale semi-automated survey of African wildlife using oblique imagery and deep learning

Published:2024-09 Issue: Volume:82 Page:102679
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Delplanque Alexandre,Linchant Julie,Vincke Xavier,Lamprey Richard,Théau Jérôme,Vermeulen Cédric,Foucher Samuel,Ouattara Amara,Kouadio Roger,Lejeune Philippe

Publisher

Elsevier BV

Reference35 articles.

1. A comparison of image and observer based aerial surveys of narwhal;Bröker;Mar. Mamm. Sci.,2019

2. Biodiversity loss and its impact on humanity;Cardinale;Nature,2012

3. Bias in aerial survey;Caughley;J. Wildl. Manag.,1974

4. Mutilation of the tree of life via mass extinction of animal genera;Ceballos;Proc. Natl. Acad. Sci.,2023

5. Monitoring the Illegal Killing of Elephants: Aerial Survey Standards for the MIKE Programme. Version 3.0. Convention on International Trade in Endangered Species - Monitoring the Illegal Killing of Elephants Programme (CITES-MIKE), Nairobi, Kenya;CITES-MIKE,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. YOLO-SAG: An improved wildlife object detection algorithm based on YOLOv8n;Ecological Informatics;2024-11

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