Analysis of Mineral Elements in 13 Famous Tea Varieties in Sichuan Province

This study was to analyze the mineral elements in famous tea varieties in Sichuan Province. Eighteen mineral elements in the samples of 13 famous tea varieties in Sichuan Province were measured via related instruments. The results showed, of all the 18 measured samples, that the contents of K, P, S, Ca and Mg were relatively higher（ 〉1 500 mg/kg） in famous tea varieties in Sichuan Province, while those of Ba, Cr, V, Co and Se were relatively lower（ 〈 10 mg/kg） ; compared to common green tea, the famous tea varieties in Sichuan Province contained higher contents of K, Zn, P, Na, Ni, Cu, S, Se and Co（0.38% -115.65% higher than that in common green tea）, and lower contents of Mg, Mn, AI, Ca, V, Rb, Fe and Cr（7.20% -46.67% lower than that in common green tea）; of the 13 tested tea varieties, Hongyanyingchun, Yongchuanxiuya and Qingchengxueya were rich in mineral elements, while Yuchengyunwu and Yuqiancha lacked in mineral elements. The re- suits show that Hongyanyingchun, Yongchuanxiuya and Qingchengxueya are the elites in the famous tea varieties in Sichuan Province.

Locating Famous Tea’s Picking Point Based on Shi-Tomasi Algorithm

To address the difficulty of locating the picking point of a tea sprout during the intelligent automatic picking of famous tea,this study proposes a method to obtain information on the picking point on the basis of the ShiTomasi algorithm.This method can rapidly identify a tea sprout’s picking point and obtain its coordinates.Images of tea sprouts in a tea garden were collected,and the G-B component of tea sprouts was segmented using the Otsu algorithm.The region of interest was set with the lowest point of its contour as the center.The characteristics of tea buds and branches in the area were extracted,and the Otsu algorithm was used for a second segmentation of tea sprout images.The tea buds were segmented using the improved Zhang algorithm.The branch feature binary image was used to refine the skeleton,and the Shi-Tomasi algorithm was used to detect the corners of the skeleton and calculate and mark the picking points of the shoots.Sixty sets of samples were tested.The test identified 1,042 effective shoots for tender buds,and 887 picking points were marked,with a success rate of 85.12%,thereby verifying the effectiveness of the method and providing a theoretical reference for the visual positioning of the automatic picking of famous tea.

Determination of Trace Elements in Famous Teas from Huangshan Area by ICP-AES

With an Iris Intrepid II XSP ICP full spectrum ICP emission spectrometer,trace elements including Se,Fe,Mn,Cd,Cr,Co,Ni,Cu,Pb and Zn in Huangshan teas were determined.The best analysis conditions were selected by experiments.The method is simple and rapid,and the precision and accuracy are all in line with the requirements.This method was used to analyze actual tea samples with satisfactory results.