The invention belongs to the field of tea production and cultivation, and particularly relates to a tea tree mining period prediction method based on the Internet of Things technology. For a long timein spring tea production, when 20%-40% of tea trees have one bud and one leaf, the period is set as the picking period wherein the picking period is mainly determined by field observation. The investigation workload in the tea picking period is large, and production arrangement is not facilitated. Accorrding to the method, when 20%-40% of tea trees haveone bud and one leaf, corresponding tea treecanopy effective accumulated temperature is used as a mining period prediction index, agricultural meteorological parameters of observation points are collected in a tea garden in real time through the Internet of Things technology, the tea leaf picking period is predicted according to meteorological factor indexes of different types of varieties in the mining period, the investment is low, the operation is easy, the tea leaf production management level can be effectively improved, and economic benefits are improved. The method comprises the following steps: 1, calculating meteorological indexes and picking accumulated temperature estimation values in a tea picking period; 2, collecting agricultural meteorological parameters; and 3, predicting the tea picking period.