tejakattenborn/AngleCAM
A deep learning-based method to infer leaf angle variation from photographs.
AngleCAM helps scientists and researchers track changes in plant leaf angles over time using ordinary photographs. You provide horizontal images, either singly or as a time series, and it outputs predictions of leaf angle distributions. This tool is for plant scientists, ecologists, and agricultural researchers studying plant productivity, stress responses, or environmental interactions.
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Use this if you need to cost-effectively monitor plant leaf angle variations in field conditions over extended periods using readily available camera technology.
Not ideal if you require extremely high precision leaf angle measurements for individual leaves, or if your camera properties (field of view, etc.) are significantly different from the Brinno TLC-200 Pro.
Stars
14
Forks
8
Language
R
License
GPL-2.0
Category
Last pushed
Jun 02, 2025
Commits (30d)
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