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