Browsing NIBIO Brage by Subject "Machine learning"
Now showing items 1-3 of 3
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Automatic detection of woody vegetation in repeat landscape photographs using a convolutional neural network
(Journal article; Peer reviewed, 2019-02-06)Repeat photography is an efficient method for documenting long-term landscape changes. So far, the usage of repeat photographs for quantitative analyses is limited to approaches based on manual classification. In this ... -
Detection and Classification of Root and Butt-Rot (RBR) in Stumps of Norway Spruce using RGB Images and Machine Learning
(Journal article; Peer reviewed, 2019-04-01)Root and butt-rot (RBR) has a significant impact on both the material and economic outcome of timber harvesting, and therewith on the individual forest owner and collectively on the forest and wood processing industries. ... -
Neutral processes related to regional bee commonness and dispersal distances are important predictors of plant–pollinator networks along gradients of climate and landscape conditions
(Peer reviewed; Journal article, 2022-10-17)Understanding how niche-based and neutral processes contribute to the spatial varia-tion in plant–pollinator interactions is central to designing effective pollination con-servation schemes. Such schemes are needed to ...