Computational modeling and analysis

Objective: (i) analyse the variables and processes responsible for plants in tropical environments. (ii) design a computational model for (i) above. (iii) implement the design in (ii) above. (iv) evaluate the system's performance. Methodology: (i) Analysis will be done based on the variables and processes responsible for plants in tropical environments, such as: precipitation (rainfall and water), light, temperature, relative humidity, soil nutrient contents and competition with other plants. (ii) Model the plant growth using context sensitive grammar re-write rules technique and design a corresponding software using flowcharts. To model the impact of the environment on plants, and the mutual interaction between plants and their environment, two extensions to Lindenmayer systems (L-system) will be used: environmentally sensitive L-systems and Open L-systems (iii) The design in (ii) above will be implemented in L-Studio using cpfg or lpfg programming language. (iv) The evaluation will done by comparing the developed model with real plant. *** item (iii) can be implemented using Python, JAVA or C++, but it must use Lindenmayer System Framework.***