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中文摘要：
综合PCA、LDA和BPR提出了一种新的基于近红外光谱短波段的玉米品种鉴别方法.针对37个玉米品种的近红外光谱数据,以833nm作为起始波长,选取不同的截止波长,得到不同波段的数据,以此进行品种鉴别.实验结果表明：在833～1 087nm短波段,本文方法识别率达到97.60%,与全波段相比,波段范围缩小了84.71%,而识别率只下降2.16%.
英文摘要：
A novel corn varieties discrimination method using short wave band of near-infrared spectra was combined PCA, LDA and BPR. The NIR spectra of 37 corn varieties was collected and extracted with different cut-off wavelength at the same start wavelength 833 nm, and then varieties discrimination was carried out. The results showed that in the 833-1 087 nm wave band, the highest correct rate reached 97.60%, decreased only by 2.16%, but with an 84.71% shortening rate in wave range compared with full band.
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