Simulation of plant growth manipulation using rule based inference and C4.5 algorithm

Abstract

The growth process of a flowering plant can be manipulated by treating on its genes and controlling its exogenous factors. This manipulation is aimed for specific reason, for example: to accelerate the flowering process, to lengthen juvenility, or to regenerate certain parts of the flower. Biology molecular researcher used to do this manipulation in a costly research and it usually takes a long period to watch its impact on a plant. A system is developed to simulate vegetative and generative growth process of a plant when its exogenous factors and genes are controlled. The vegetative system uses rules generated using C4.5 algorithm and gives 100% accuracy when SN DNE and HR are both active. When one of SN DNE and HR is nonactive, the rules are no longer accurate and generated manually. The generative system uses rules based inference. It predicts the effect of controlling the level of genes and exogenous factors. It can be estimated whether the plant would produce flowers, become sterile, stay juvenile or even die. The system is also able to predict the shape of the flower, whether it would be a perfect flower or inactive in some part of the flower.