Exploration of the Ecological Wisdom in the Production Techniques of Chaozhou Dancong Tea within the Framework for Protecting Intangible Cultural Heritage of Agriculture

Abstract

Chaozhou single-compass tea has high production techniques, distinctive product characteristics and good industrial benefits. The study provides a basis for the ecological wisdom mining of Teozhou single-conglomerate tea by sorting out the characteristics of Teozhou single-conglomerate tea industry. The data mining method of tea production skills mainly contains association rules and clustering mining methods. The association rule adopts Apriori algorithm to mine the temporal and causal associations among tea leaves, and find out the item set that satisfies the minimum confidence level as the output of tea association rule. The tea clustering method is optimized on the basis of Density-Based Clustering (DBSCAN) algorithm from spatio-temporal data pooling, density thresholding, K-mean nearest neighbor method, and mathematical expectation method. The results showed that the confidence level of relatively low minimum temperature → large occurrence of pest class = 72.3%, and the confidence level of very high rainfall → medium occurrence of pest class = 98.9%. The largest coefficient of variation among the agronomic traits of Teochew single bush tea varieties was 100 bud weight, with a coefficient of variation of 29.34%. The highest correlation between bud length and width ratio and leaf spreading angle was found, with a correlation coefficient of 0.964. The clustering of Teochew single bush tea was divided into three categories, each of which contained five, four, and three tea tree varieties, respectively. The ecological excavation of Chaozhou single-cong tea provides a cognitive framework for the protection of agricultural non-cultural heritage.