Abstract
Experience is the main guide for cut rose growers to make decisions on crop management and climate control. Because of continuous change in cultivar characteristics and technology there is a need for a general theory, capturing how the number of flower shoots produced and their quality depend on the main determinants: plant structure (as a product of the interaction of natural growth and development with manipulation by the grower), cultivar characteristics and greenhouse environment. ‘Virtual Rose’ is an interdisciplinary project working on the development of a 3D model that simulates and visualizes shoot production over time. 3D modelling, or rather functional-structural plant modelling, differs fundamentally from previously published rose crop models, the most striking aspect being the 3D simulation and visualization of plant structure. This paper introduces the basic modelling approach, i.e., the use of Relational Growth Grammars (RGG) and the modelling language eXtended L-Systems (XL). The final model needs to be able to use greenhouse climate data from practice as input, most importantly the light regime, consisting of light from the sun and additional assimilation lamps (SON-T). Furthermore, the model needs to be equipped with provisions that allow the model user to execute ‘virtual’ bending, harvesting, and pruning. In this paper, we will focus on new modelling techniques for simulating complex interventions in plant growth
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