Publications by authors named "Xing-Tian Tang"

In the present paper, the spectral measurements of maize population samples were researched so as to identify their authenticity. Diffuse reflectance and transmittance measure modes were used to collect spectral data of 8 maize varieties. DPLS-DA was used to compress pretreated data.

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Article Synopsis
  • The study explored different methods for analyzing maize seed samples using near-infrared spectral measurements to improve variety identification models.
  • It found that positioning the maize embryo towards the light source and using diffuse reflectance settings resulted in better model performance compared to other methods.
  • The best results were achieved using a small sample pool with the embryo facing the light source, achieving a 94.6% correct identification rate and 96.5% correct rejection rate for non-target varieties.
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