AngleCam: Predicting the temporal variation of leaf angle distributions from image series with deep learning

Abstract Vertical leaf angles and their variation through time are directly related to several ecophysiological processes and properties. However, there is no efficient method for tracking leaf angles of plant canopies under field conditions. Here, we present AngleCam, a deep learning‐based approach...

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Bibliographic Details
Main Authors: Teja Kattenborn, Ronny Richter, Claudia Guimarães‐Steinicke, Hannes Feilhauer, Christian Wirth
Format: Article
Language:English
Published: Wiley 2022-11-01
Series:Methods in Ecology and Evolution
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Online Access:https://doi.org/10.1111/2041-210X.13968
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