In this work, terahertz time-domain (THz) spectroscopy and deep learning were used to analyze the spectral characteristics of a sample in the terahertz region. Nonlinear dimensionality reduction of the THz spectral data and a detection model for the freshness of stored wheat were investigated by deep learning and THz-TDS. The aim of this work was to enrich and develop the theory and method for testing stored grain quality, and improving the storage of rice through the use of THz technology. Furthermore, the work will provide theoretical basis for reducing the loss of grain storage.
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