Abstract
Chirp Pulse Microwave Computed Tomography (CP-MCT) that was originally developed for noninvasive imaging of a human body was applied to visualize sugar distribution inside a fruit. It can visualize not only permittivity distribution itself of a fruit but also various physical- or chemical-quantities relating to the permittivity value. Almost all fruits are dielectric materials containing much water, sugar, acids and so on. But for water, the principal ingredient of a fruit is sugar. Most of the fruits contain sugar from 8% to 22% by weight at the harvest time. Therefore sugar content distribution should be measured by CP-MCT nondestructively. By using apples and Japanese pears, feasibility of sugar distribution imaging has been evaluated by comparing the gray level of CP-MCT and sugar content of the cross section. The averaged correlation coefficients of the apple and pear are 0.793 and 0.681.
