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The goal of this study is to develop a non-destructive method to detect the internal browning and water-core in Fuji apples by VIS/NIR transmittance spectroscopic method. To acquire the transmitted energy spectra of an apple, a proto-type spectroscopic sensing unit was made with a sample holder, light sources, a real time spectrometer, etc. The apple samples having the internal rots were artificially made. All spectra of the Fuji apple samples showed three peaks near 640 nm, 710 nm and 800 nm, respectively. And the transmitted energy levels of the water-core apples were higher than the sound and those of the internally rotted samples were the lowest. Classification tests, which were made with the normalized peak values and peak difference values, indicated that the most efficient classification algorithm is primarily to separate out the internally rotted from the given Fuji apples by the peak difference values of , and secondly, classify the water-core apples by the values of (). With such an algorithm, CCRs (correct classification ratios) of the sound, the water-core and the internally rotted samples are expected to be 100 %, 91.4 % and 97.6%, respectively. Classification by SIMCA method resulted that CCRs for the sound, the water-core and the internal rot were 100 %, 70.0 % and 81.0 %, respectively.