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Abstract: Comparing with traditional detection methods, infrared spectroscopy technology is rapid and noninvasive in the detection of the internal quality of fruits. However, the application of infrared spectroscopy is poor for the narrow scope of the models and the limitation of the management methods for spectra. An infrared Spectral Database System (SDBS), combining with spectral matching algorithms, model updating and model transfer techniques, would be setup for the detection of the internal quality of fruits. With this system, the standard spectra would be shared on the internet, the models would be updated conveniently so the prediction accuracy could be guaranteed and the information of the internal quality would be calculated automatically when the spectra of samples are submitted to the database.