Structural Plant Modelling Based on Real 3d Structural Parameters, Resulting Simulation System and Rule-based Language Xl

This paper presents a new method for producing a structural plant static model that simulates the details of the structure of individual plants, yet does not require detailed knowledge of underlying physiology. The example presented with this method in this study is the modelling of the tomato plant. This new structural modelling approach is based on linking a resulting simulation system representation of the static structure of the plant with real structural parameters and rule-based language XL (extended L-system language). The static model is built by applying the structural parameters of a tomato plant which is gained by using a 3D scanner, yet iteration is not under consideration in this modelling approach. The main advantage of the approach is that the 3D reflects the real structure of plant. This approach, combining real structural parameters, resulting simulation system and rule-based language XL, fills the important role of providing an intermediate level of representation between the two extremes of 3D dynamic modelling and purely 2D empirical modelling.