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18 December 2019 Research on THz spectrum detection model of stored grain quality based on deep learning
Hong-yi Ge, Guofang Wu, Yu-ying Jiang, Yuan Zhang, Fei-yu Lian
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Proceedings Volume 11334, AOPC 2019: Optoelectronic Devices and Integration; and Terahertz Technology and Applications; 113341P (2019) https://doi.org/10.1117/12.2547769
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China
Abstract
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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Hong-yi Ge, Guofang Wu, Yu-ying Jiang, Yuan Zhang, and Fei-yu Lian "Research on THz spectrum detection model of stored grain quality based on deep learning", Proc. SPIE 11334, AOPC 2019: Optoelectronic Devices and Integration; and Terahertz Technology and Applications, 113341P (18 December 2019); https://doi.org/10.1117/12.2547769
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KEYWORDS
Terahertz radiation
Neural networks
Data modeling
Agriculture
Feature extraction
Spectroscopy
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