In Japan, places where agricultural products are cultivated or fishery products produced have recently begun to make their locality into a brand. To take advantage of this brand creation, some other producing districts camouflage their agricultural or fishery products to be sold as the branded district?s goods with its attendant higher brand values; thus fraudulently raising their own prices. Therefore, we proposed a system that identifies the various places of cultivation of green groceries by analyzing very small quantities of trace elements in the cultivated products and then storing this information in a database. In this paper, we describe the outline and design of a system that discriminates the place of cultivation. We show that discrimination is possible by correlation analysis on the results of our trace elements analysis. Also, we will describe about computation time of correlation coefficient with simulated data. And, we prove that the proposing system is suitable for practical use if the number of samples is largely increased, when granularity of the producing districts became smaller.