The potential of single-seed near-infrared (NIR) spectroscopy was investigated to\ncharacterise castor seeds based on their seed viability and seed oil content. Distinct differences\nbetween viable and non-viable seeds were observed in the principal component analysis\n(PCA) analysis. Furthermore, the PCA compared heavy and medium seeds with light seeds, which\nwere comparable to the clusters of viable and non-viable seeds, respectively. Prediction accuracies of\n98.7% and 99.6% were obtained with the partial least squares discriminant analysis (PLS-DA) model\nwith a classification error rate of 0.8% and 1.1% for the training set and test set, respectively. The NIR\nspectral regions having chemical information from the oil in castor seeds were found to be vital for\ndetermination of seed viability.
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