Timely poacher detection and localization using sentinel animal movement

Wildlife crime is one of the most profitable illegal industries worldwide. Current actions to reduce it are far from effective and fail to prevent population declines of many endangered species, pressing the need for innovative anti-poaching solutions. Here, we propose and test a poacher early warni...

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Vydané v:	Scientific reports Ročník 11; číslo 1; s. 4596 - 11
Hlavní autori:	de Knegt, Henrik J., Eikelboom, Jasper A. J., van Langevelde, Frank, Spruyt, W. François, Prins, Herbert H. T.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 25.02.2021 Nature Publishing Group Nature Portfolio
Predmet:	631/114/1305 631/158/672 Algorithms Animal behavior Animal Migration Animals Conservation of Natural Resources Crime Data transmission Endangered Species Energy expenditure Habitat selection Habitats Herbivores Humanities and Social Sciences Humans Internet of Things Learning algorithms Localization Machine learning multidisciplinary Poaching Population decline Predation Savannahs Science Science (multidisciplinary) Topology Vigilance Wildlife conservation
ISSN:	2045-2322, 2045-2322
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