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1.
Guang Pu Xue Yu Guang Pu Fen Xi ; 32(1): 103-7, 2012 Jan.
Artigo em Zh | MEDLINE | ID: mdl-22497138

RESUMO

In order to establish the better maize variety identification models based on single kernel samples, the near-infrared spectral measurement methods were studied by comparing the direction of the maize seed's embryo, diffuse reflectance and transmission mode, devices of holding the sample according to their impacts on the performance of variety identification models. Partial least squares-discriminant analysis (PLSDA) was used to compress the pretreated spectral data into 9 variables, and then the identification models were built based on biomimetic pattern recognition (BPR). The results show that with the maize grain's embryo facing the light source the models can be made perform better than with embryo backing toward the light source, diffuse reflectance mode is better than transmission mode, and small sample pool performs better than the small aperture. The measurement method of acquiring the diffuse reflectance near infrared spectra of maize by small pool with the seed embryo facing the light source can make models have the best performance. The average correct identification rate of the models is 94.6%, and the average correct rejection rates for the varieties not belonging to the models reached 96.5%.


Assuntos
Espectroscopia de Luz Próxima ao Infravermelho , Zea mays , Análise Discriminante , Análise dos Mínimos Quadrados , Modelos Teóricos , Sementes
2.
Guang Pu Xue Yu Guang Pu Fen Xi ; 32(6): 1531-4, 2012 Jun.
Artigo em Zh | MEDLINE | ID: mdl-22870633

RESUMO

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. The recognition models of eight maize varieties were built based on biomimetic pattern recognition (BPR). The average correct recognition rate and average correct rejection rate of identification models built by two modes were calculated. The average recognition rate and rejection rate of diffuse reflectance method reached 94.50% and 96.71%, and those of transmittance method reached 98.5% and 98.00%, respectively. Both of them met the requirements of maize preliminary screening, and the recognition rate and rejection rate of transmittance method are higher than diffuse reflectance method by 4% and 1.3% respectively.


Assuntos
Espectroscopia de Luz Próxima ao Infravermelho , Zea mays , Modelos Teóricos , Reconhecimento Automatizado de Padrão
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