57 unit wheat grain sample’s spectrums are collected separately by Fourier near infrared（NIR） spectrometer（single grain test sample accessories）and HyperSIS-NIR system

and the wheat grain protein content models built respectively by NIR and hyperspectrum is mainly compared

and the model correlation coefficient based on NIR is 0.52 and error of cross validation（RMSECV） is 0.807

while the model correlation coefficient based on hyperspectrum is 0.81 and RMSECV is 0.703 5.The results show that when the sample is few and in grain form

hyperspectrum technology has more advantages to test sample internal quality than NIR

but its practicality remains to be further verified.If further combined with image information

hyperspectrum technology has more an application in detecting internal and external quality of agricultural products.