Classifications Based Decision Tree and Random Forests for Fanjing Mountains’ Tea

Abstract

Fanjing Mountains’ tea is made from the mountains of Fanjing, which contains green tea, black tea, white tea, black tea, oolong tea, instant tea and other series, and green tea is mainly to play. Thanks to the natural ecological protection of Fanjing Mountains, and the classic exquisite processing technology and profound cultural deposits, it has formed the unique quality of Fanjing Mountains’ tea. This article takes the idea of classification to analyze the impact factors for Fanjing Mountains’ tea, such as climate, rainfall, geographical position, and etc., and simulates by matlab with the methods of decision tree classification and random forest classification in machine learning. The simulation results show that the latter is better and more accurate.