Abstract- This paper presents an efficient hydroponic nutrient
solution control system whose system parameters are optimized
using genetic algorithm. A novel mamdani fuzzy inference system
(FIS) that grades the quality of solution for a given set of control
parameters has been used as its fitness function. The FIS
evaluation function has been designed using expert opinion from
researchers at Murugappa Chettiar Research Centre, India. To
evaluate the performance of the proposed algorithm, a virtual
hydroponic nutrient control system with a solution monitoring
unit was designed using Labview. The designed algorithm
demonstrated better convergence efficiency and resource
utilization compared to conventional error function based
nutrient solution control systems.