When plant suffered from disease, the acoustic emission signal released. In order to understand the acoustic emission signal distribution regularities, the relationship between the degree of plant disease and acoustic emission signal’s position was analyzed. The near-field acoustic holography based on spatial transformation of sound fields was used for the purpose of reconstruction model. The reconstruction algorithm was given out in order to realize the simulation through Matlab software. The parameters, such as the size of holographic cylindrical, the spacing of measurement points, the holographic radius, the reconstruction radius and so on should be adjusted constantly to obtain the optimal parameters. In view of the impact of environmental noise and acoustic emission signal characteristics, the window function was introduced into ultrasonic frequency signal to obtain the optimum simulation results. It was showed that cylindrical near-field acoustic holography based on spatial transformation of sound fields can be applied for recognition and positioning of acoustic emission signal accurately.