Browsing Publikasjoner fra CRIStin - NINA by Subject "machine learning"
Now showing items 1-2 of 2
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Automatic flower detection and phenology monitoring using time-lapse cameras and deep learning
(Peer reviewed; Journal article, 2022)The advancement of spring is a widespread biological response to climate change observed across taxa and biomes. However, the species level responses to warming are complex and the underlying mechanisms are difficult to ... -
Soundscapes predict species occurrence in tropical forests
(Peer reviewed; Journal article, 2021)Accurate occurrence data is necessary for the conservation of keystone or endangered species, but acquiring it is usually slow, laborious and costly. Automated acoustic monitoring offers a scalable alternative to manual ...