STUDY ON THE PLANT GROWTH MODEL INCLUDING THE THEORIES ON BRANCHING AND ARCHITECTURE GENERATION

植物的构型被认为是分生组织生长的时间序列，植物的形状可以通过它们的元素如节间、叶、花和芽来描述。三维植物建筑的安装将提供新的机会，更精确地描述模型的光环境，温室控制等，本研究试图测量和模拟的三维形状的植物。一些品种的大豆植物的建筑测量和建模。在测量中，测量了节间的数量和长度以及分枝模式，并对这些分布进行了统计分析。利用测量结果建立了作物结构的拓扑和几何特征模型。该模型能够精确生成作物结构。对部分品种的叶片形状进行了多边形建模。利用上述结果，可以直观地观察到大豆的形态和生长情况，并提出了一种从二维图像中获取叶片角度分布的新方法。通过对不同角度拍摄的图像进行二维纹理分析（最大熵法），重建出叶片角度的三维分布。用这种方法可以精确地估计叶角的分布。

Architecture of plants are considered as a trail of the time series of meristem growth and the shape of plants can be described by their elements like internodes, leaves, flowers and buds. Installation of three dimensional plant architecture will provide new opportunity of more precise description of the models of light environment, greenhouse control, etc. The present study attempts to measure and to model the three dimensional shape of plants. The architecture of some varieties of soybean plants is measured and modeled. In the measurement, the number and length of internodes and branching pattern are measured and these distributions are analyzed statistically. Topological and geometrical characteristics of the architecture of the crops are modeled using the result of measurement. The model enables the precise generation of the crop architecture. The shape of leaves of some varieties are modeled by using polygons. The plant shape and growth of soybean is visualized from above results.We also develop a new method for obtaining the distribution of leaf angles from 2-D images. The 3-D distribution of leaf angles are reconstructed from the 2-D analysis of texture (Maximum Entropy Method) of pictures taken from different angles. Precise estimation of the distribution of leaf angle is possible by this method.