Behaviour Classification on Giraffes (<i>Giraffa camelopardalis</i>) Using Machine Learning Algorithms on Triaxial Acceleration Data of Two Commonly Used GPS Devices and Its Possible Application for Their Management and Conservation

Behaviour Classification on Giraffes (<i>Giraffa camelopardalis</i>) Using Machine Learning Algorithms on Triaxial Acceleration Data of Two Commonly Used GPS Devices and Its Possible Application for Their Management and Conservation

Averting today’s loss of biodiversity and ecosystem services can be achieved through conservation efforts, especially of keystone species. Giraffes (<i>Giraffa camelopardalis</i>) play an important role in sustaining Africa’s ecosystems, but are ‘vulnerable’ according to the IUCN Red Lis...

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Bibliographic Details
Main Authors: Stefanie Brandes, Florian Sicks, Anne Berger
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
giraffe
triaxial acceleration
machine learning
random forests
behavior classification
giraffe conservation
Online Access:https://www.mdpi.com/1424-8220/21/6/2229

Internet

https://www.mdpi.com/1424-8220/21/6/2229

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