Dielectric properties of peanut kernels were greatly influenced by frequency, moisture content, and temperature. Both dielectric constant and loss factor decreased with increasing frequency, and increased with increasing moisture content
and temperature. The quadratic and cubic regression models were established to explain dielectric properties as influenced by moisture content and temperature at four specified frequencies. The maximum RF heating rate can be estimated based on the dielectric properties using the regression models at the four specified frequencies. The penetration depths were much larger at RF frequencies than those at MW frequencies, suggesting better uniformity in RF drying. The dielectric properties data could be useful to explore the RF and MW heating mechanisms and guide the development of effective treatment protocols.