首页|Rapid identification of rice seed based on inverse Fou-rier transform of laser-induced breakdown spectroscopy
Rapid identification of rice seed based on inverse Fou-rier transform of laser-induced breakdown spectroscopy
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
万方数据
The identification of rice seeds is crucial for agriculture production.An inverse Fourier transform(IFT)method based on laser-induced breakdown spectroscopy(LIBS)is proposed to identify five kinds of rice seeds.The LIBS data of the samples were preprocessed by inverse fast Fourier transform(IFFT),and the time-domain signals of rice seeds were obtained.The back propagation(BP)neural network was used to establish full spectrum,segmented spectrum,time-domain full spectrum and time-domain segmented spectrum discrimination models.Compared with the original spectrum,the time-domain spectrum can significantly improve the identification accuracy.The time-domain full-spectrum identification accuracy reached 95.28％,and the time-domain segmented spectrum identification accu-racy reached 94.36％,whose identification time was only a few seconds.The results demonstrate that LIBS detection technology combined IFFT and BP neural network is fast and accurate,which provides a new idea for batch detection of rice seeds.
HOU Jiaxin、WANG Yang'en
展开 >
College of Physics and Optoelectronic Engineering,Yangtze University,Jingzhou 434023,China
万方数据
