Modeling realistic 3D agricultural vegetations using a photometric-based approach and its application to weed detection
SSRN Electronic Journal(2022)
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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