Modeling realistic 3D agricultural vegetations using a photometric-based approach and its application to weed detection

SSRN Electronic Journal(2022)

Cited 1|Views9
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Abstract
•A photometric framework to model and render agricultural vegetations is proposed.•The photometric approach captures detailed leaf geometric and optical properties.•A parametric L-system template is used to model plant structure and development.•The powerfulness of the framework is demonstrated by applying to weed detection.•The promising results support the development of 3D crop/weed model repositories.
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Key words
Virtual agriculture,Plant modeling,Convolutional neural networks,Parametric L-system,Ray tracing,Plant rendering
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