• DocumentCode
    2506119
  • Title

    General Structural Model of Crop Root System Based on the Dual-scale Automaton

  • Author

    Zhang, Wuping ; Li, BaoGuo

  • Author_Institution
    Key Lab. of Plant-Soil Interactions of Minist. of Educ., China Agric. Univ., Beijing, China
  • fYear
    2009
  • fDate
    9-13 Nov. 2009
  • Firstpage
    161
  • Lastpage
    164
  • Abstract
    The topological structural model of root system was developed in this study, which was the first work of developing a functional-structural model of root system. Referring to the equal thermal interval, the basic structural unit of root (UR) was defined, and then the branching density (BD) and branch probabilities branching probability vector (BP) of UR were used to describe the number and type of lateral primordia of root. Based on the definition, the revised dual-scale automaton was adopted to simulate the structure change of root system which consisted of the URs. The characteristics of the model were utilizing the framework of the dual-scale automaton and parameters describing the branching and growth of root system. It is convenient to integrate the above ground model and below ground model of plant with the same time scale and details Based on this study.
  • Keywords
    crops; data visualisation; branching density; branching probability vector; crop root system; dual-scale automaton; functional-structural model; topological structural model; Automata; Biological system modeling; Biomass; Crops; Educational institutions; Electronic mail; Production systems; Soil; Visualization; Water resources; Functional-structural plant model; dual-scale automaton; root system; visualization;
  • 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.2009.31
  • Filename
    5474890