Seed type identification by using image analysis – correlation of nutritive compounds with size, shape and color characteristics

In the study differences in seed morphology were investigated by digitalized image system software Nis-Elements v.2.3 (Lim, Prague, Czech Republic) based on scanning of size and shape and extracted parameters such as Area, MaxFerret, Elongation, Cirularity etc. of seeds of model crops - pea (large seedy crop) and flax (small seedy crop). The results of image analysis (determination of classes of highly contrasting seeds) were taken in comparison/correlation with agricultural important compounds in seeds can be helpfull in granding system of seed technology.

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