The application of the extended Kalman filter (EKF) to a batch cooling crystallization process is presented. The simulation results point out that the feasibility of the on-line application of this nonlinear state estimation technique to a noisy nonlinear system heavily depends on the accurate measurement of the crystallizer temperature and the dissolved solute concentration. The EKF can reduce the effect of significant amounts of random noise in the measurements.