LAUSR

Time-Domain nuclear magnetic resonance (NMR) is used for characterization of wheat infested with S.zeamais. NMR parameters (T21, T22, P21, P22, and A_(21/22)) were achieved by bi-exponential analysis combined with a discrete method. Sound wheat, S.zeamais, and S.zeamais/wheat binary mixture are all explored by this method to found the changes in the process of amount increase and growth stage. Based on different set of NMR parameters, classification and quantification of the stage and amount are made by LDA and PLS with very high accuracy. Weight and moisture content information lack will make the misclassification rate increase but not more than 7%. This NMR-based hidden insect detection method, with fast and nondestructive advantages, was confirmed by X-ray and had a high potential to be equipped in the on-line analysis system.