DocumentCode :
2507931
Title :
Simulating the Distribution of R/FR in Maize Canopies with Monte Carlo Ray Tracing Approach
Author :
Lao, Cailian ; Guo, Yan ; Li, BaoGuo
Author_Institution :
Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China
fYear :
2009
fDate :
9-13 Nov. 2009
Firstpage :
65
Lastpage :
71
Abstract :
R/FR (red to far-red ratio) is a key light signal for plants to detect the oncoming competition and initiate the shade avoidance syndrome. This study is aim to simulate the R/FR signal received by maize plants based on a 3D canopy radiative model. Optical properties of maize leaf were characterized by an adapted Cook-Torrance model for reflectance and a Lambert model for transmittance. Virtual maize canopies were reconstructed with triangle facets by digitizing the 3D architecture of maize plants in the field. The distributions of red and far-red light within canopies were simulated by Monte Carlo ray tracing methods. R/FR received by triangle facets of canopies was calculated from these red and far-red light distributions. Finally, the distributions of R/FR within two maize canopies at two growth stages were simulated under three solar angles. Low R/FR in the canopy of maize at filling stage indicated potential competition of neighboring plants. Solar angles change the distribution of R/FR within canopy. It is recommended to be examined on the whole day time course that covering a large range of solar angles.
Keywords :
Monte Carlo methods; agricultural engineering; agriculture; crops; photosynthesis; production engineering computing; ray tracing; sunlight; virtual reality; 3D canopy radiative model; Monte Carlo ray tracing approach; R-FR signal distribution; key light signal; maize leaf; plant growth; red-to-far-red ratio; shade avoidance syndrome; solar angles; virtual maize canopies; Distribution functions; Educational institutions; Light scattering; Monte Carlo methods; Optical scattering; Optical surface waves; Photoreceptors; Plants (biology); Ray tracing; Reflectivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Plant Growth Modeling, Simulation, Visualization and Applications (PMA), 2009 Third International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-7695-3988-1
Electronic_ISBN :
978-1-4244-6330-5
Type :
conf
DOI :
10.1109/PMA.2009.51
Filename :
5475018
Link To Document :
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