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When Does Directional Reflectance Matter? Evaluating BRDF Effects in Plant Canopy Light Simulations.
Jens Balasus1, Felix Wirth1, Alexander Herzog1
1Laboratory of Adaptive Lighting Systems and Visual Processing, Technical University of Darmstadt, Hochschulstr. 4a, 64289 Darmstadt, Germany.
Simulating plant light interactions requires accurate leaf reflectance data. Incorporating direction-dependent reflectance (BRDF) minimally impacts light absorption but significantly alters spectral composition, crucial for greenhouse applications.
Area of Science:
- Plant science
- Optics
- Computer simulation
Background:
- Virtual plant models and ray-tracing are used for plant-light interaction studies.
- Current models often simplify leaf reflectance as diffuse, ignoring direction-dependent properties.
Purpose of the Study:
- To investigate the impact of incorporating measured, direction-dependent leaf reflectance (BRDF) into virtual plant models.
- To assess effects on light absorption and spectral composition under various lighting conditions.
Main Methods:
- Utilized 3D virtual cucumber plant models with PhongShader for optical leaf characteristics.
- Simulated light absorption and photon flux densities under diffuse and directed sunlight.
- Considered spectrally resolved and direction-dependent Bidirectional Reflectance Distribution Function (BRDF).
Main Results:
- Total leaf-level light absorption was marginally affected (MAPE < 2%).
- Spectral distortions in the canopy exceeded 8% in the blue wavelength range under direct light.
- Directional reflectance significantly impacts spectral composition within the plant canopy.
Conclusions:
- BRDF modeling is not critical for estimating photosynthetic rates in most scenarios.
- Accurate BRDF is essential for spectral analyses and optimizing artificial lighting in greenhouses.
- Simulating spectral composition is vital for optical sensor applications in controlled environments.
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