An active noise control (ANC) method for reducing noise over a region in space based on the individual kernel interpolation of primary and secondary sound fields is proposed. The kernel-interpolation-based spatial ANC based on the estimation and synthesis of a three-dimensional sound field using multiple microphones and secondary sources has practical advantages in an arbitrary array configuration and efficient time-domain algorithms. It is possible to incorporate prior information on primary noise source directions into the kernel function by directional weighting to enhance the estimation accuracy of a sound field; however, in a previous study, the performance improvement by this directional weighting is limited owing to the mismatch of the source direction in the sound field generated by secondary sources. We propose a spatial ANC method based on the individual interpolation of the sound fields generated by primary and secondary sources. An adaptive filtering algorithm for individual kernel interpolation is also developed. The experimental results indicate that the proposed method outperforms the previous kernel-interpolation-based spatial ANC.