Method for identifying young leaves of tea plants based on EGCG (Epigallocatechin Gallate) concentration difference

Abstract

The invention discloses a method for identifying young leaves of tea plants based on EGCG (Epigallocatechin Gallate) concentration difference. The method comprises the following steps: (1) acquiring the reflectivity of characteristic bands of the young leaves of tea plants; (2) acquiring the EGCG concentration of the young leaves of tea plants based on a relational expression between the concentration of catechinic acid EGCG (EGCG for short) in the tea leaves and the reflectivity of the characteristic bands; (3) identifying the young leaves of the tea plants based on an EGCG concentration threshold value of the young leaves of the tea plants. The method for identifying the young leaves of tea plants based on the EGCG concentration difference is capable of identifying old leaves and fresh leaves of the tea plants and is high in accuracy, high in interference resistance and high in adaptability.

Description

technical field [0001] The invention relates to the field of tea picking and processing, in particular to a method for identifying young tea leaves. Background technique [0002] Tea picking is a labor-intensive labor in tea production, which generally accounts for more than 50% of the management workload of tea gardens. However, most of the tea areas in my country focus on the production of famous and high-quality tea, which requires high picking accuracy. To meet the standard of one bud and two leaves, for example, tens of thousands of buds need to be picked to make one kilogram of premium Junshan Silver Needle dry tea. [0003] With the continuous development of the economy, a large number of rural laborers have transferred to the secondary industry and the tertiary industry, and many tea areas have experienced labor shortages. In addition, the production cycle of famous and high-quality tea is short. According to the agricultural proverb, "tea is a season grass, it is a ...

AI Technical Summary

Problems solved by technology

[0005] As for the intelligent and mechanized picking of famous and high-quality tea, it is basically still in the theoretical stage, and there is no system that can be applied to actual production.

This is mainly limited by the current tea picking part recognition system based on the color and shape characteristics of young leaves, which cannot be well adapted to complex production environments, such as changes in weather, sunshine, and different growth states of tea trees, etc.

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