Growth Ofidwation Of Plant By Means Of The Hybrid System Of Genetic Algoryttim And Neural Network

摘要

A new control technique for growth optimization of plant in hydroponics is proposed. In the method, physiological processes of the plant to environmental factors are firstly identified by using a neural network, and then optimal values of the environmental factors are determined through the prediction of the identified model by using a genetic algorithm. Here, we divided the growth process into 4-stage and tried to obtain optimal 4 step values of the nutrient concentration of the hydroponic solution which maximize the ratio of total leaf length to stem diameter ( TLL/SD ), which is a good indicator for plant growth, using this method. For the identification, multi-input ( nutrient concentration and light intensity ) and single-output ( TLL/SD ) system was considered. This control technique permitted to successfully identify the complex system and quickly search the optimal 4-step concentrations. The optimal values obtained here was effective for the actual growth control.