• DocumentCode
    2507960
  • Title

    Preliminary Functional-Structural Modeling on Poplar (Salicaceae)

  • Author

    Liu, Dongxiang ; Kang, MengZhen ; Letort, Véronique ; Xing, Meijun ; Yang, Gang ; Huang, Xinyuan ; Cao, Weiqun

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Beijing Forestry Univ., Beijing, China
  • fYear
    2009
  • fDate
    9-13 Nov. 2009
  • Firstpage
    49
  • Lastpage
    52
  • Abstract
    Poplar is one of the best fast-growing trees in the world, widely used for windbreak and wood product. Although architecture of poplar has direct impact on its applications, it has not been descried in previous poplar models, probably because of the difficulties raised by measurement, data processing and parameterization. In this paper, the functional-structural model GreenLab is calibrated by using poplar data of 3, 4, 5, 6 years old. The data was acquired by simplifying measurement. The architecture was also simplified by classifying the branches into several types (physiological age) using clustering analysis, which decrease the number of parameters. By multi-fitting the sampled data of each tree, the model parameters were identified and the plant architectures at different tree ages were simulated.
  • Keywords
    agricultural engineering; clustering analysis; fast-growing trees; functional-structural modeling; plant architectures; poplar; Automation; Calibration; Computational modeling; Forestry; Information science; Mathematical model; Mathematics; Parameter estimation; Pollution measurement; Surface fitting;
  • 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.2009.47
  • Filename
    5475019