• 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