Construction of Analysis Model of Rice Seed Components Based on Near Infrared Reflectance Spectroscopy
Author information+
{{custom_zuoZheDiZhi}}
{{custom_authorNodes}}
{{custom_bio.content}}
{{custom_bio.content}}
Collapse
History+
Published
2015-12-31
Issue Date
2016-03-03
Abstract
In crop genetics and breeding researches, great significance has been attached to nondestructive testing of the components of a single grain sample. In this essay, the relationship between the spectra of a single rice grain and its content of amylose and protein was studied , where near infrared reflectance spectroscopy and partial least-squares regression were applied，and a model for rapid testing of the rice seed components based on near infrared reflectance spectroscopy was set up. The effects of different kinds of spectral preprocessing methods on the model of both single and group seed samples were compared and the model was optimized. According to the results, multiplicative scatter correction had great effect on the model optimization of single seed samples, while first derivative was useful for model optimization of both single and group seed samples. Good prediction results were achieved according to the model evaluation parameters, which provided technical supports for the component analysis of single rice grains based on near infrared reflectance spectroscopy.
.
Construction of Analysis Model of Rice Seed Components Based on Near Infrared Reflectance Spectroscopy. Chinese Journal of Light Scattering. 2015, 27(4): 384-389 https://doi.org/10.13883/j.issn1004-5929.201504014
