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Conference papers
Research of Rice-Quality Based on Computer Vision and Near Infrared Spectroscopy
Abstract : A rapid and nondestructive way to measure protein
and amylose content of rice was put forward based on near infrared(NIR)
spectral technology. The NIR spectra were acquired from 13 varieties of
rice with the wavelength from700 to 1100nm. The objectives of the
present study were to establish forecasting model to find out the
relationship between the absorbance of the spectrum and the main
components of rice. By using the machine vision-based method, the rice
appearance quality can be studied. On the basis of the evaluation
criteria, 13 different kinds of rice were classified. And according to
the usage of neural network, the detection model was established, so it
can lay the foundation for the prediction grade of the unknown kinds of
rice in the future.
Cited literature [6 references]
https://hal.inria.fr/hal-01055403
Contributor : Hal Ifip <>
Submitted on : Tuesday, August 12, 2014 - 5:42:51 PM
Last modification on : Thursday, March 5, 2020 - 5:42:22 PM
Long-term archiving on: : Wednesday, November 26, 2014 - 11:12:22 PM
Contributor : Hal Ifip <>
Submitted on : Tuesday, August 12, 2014 - 5:42:51 PM
Last modification on : Thursday, March 5, 2020 - 5:42:22 PM
Long-term archiving on: : Wednesday, November 26, 2014 - 11:12:22 PM
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1402--RuoKui_Chang.pdf
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