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Quality seeds are of great importance in agricultural production. As such, rapid and non-destructive detection methods must be developed by the researchers for assessment of seed quality and seed health. Among the currently available non-destructive methods, optical sensing is one of the most promising technologies which has been used in Seed Science Research. This primarily focuses on Machine Vision, Near-Infrared Spectroscopy and Hyper Spectral Imaging. Machine Vision is widely applied to identify and classify seeds by using their visible features, such as colour, shape, texture and size. Near-Infrared Spectroscopy has an advantage in quality discrimination and prediction of internal chemical compositions by using spectral information. Hyper Spectral Imaging integrates the advantages of Machine Vision and Near-Infrared Spectroscopy. Hence, the novel optical sensing technology is proved to be emerging technology which should be harnessed by seed researchers in the area of Seed Science Research.

Key words: Machine Vision, Near-Infrared Spectroscopy, Hyper Spectral Imaging