Vis/NIR spectroscopy for non-destructive method in detecting soybean seeds viability

Abstract

Abstract The purpose of this study was to use study the potency of the modular Vis/NIR spectroscopy for determining viability of soybean seeds. Vis/NIR spectra of soybean seeds were collected and analysed using partial least squares discriminant analysis (PLS-DA) for discriminating non-viable soybean seeds from viable ones. The optimal classification models developed were compared with various spectral pre-processing methods. The result showed that the modular Vis/NIR spectroscopy performed perfectly (Accuracy and Reliability of 100%) in detecting soybean viability. The study showed that the Vis/NIR spectroscopy coupled with chemometric analysis are potential for rapid detection of viability of soybean seeds.