Sugar beet seeds have a comparably high rate of defective seeds of about 35%–40% which are discarded before disseminationinthefield.Theseparationofproperanddefectiveseeds is a complex and labor-intensive process. We show how THz timedomain spectroscopy can be used for the examination of the seeds including an algorithm for automated classification of the seeds.