Method for fast predicting injurious insect invading degree of tea trees based on electronic nose

Abstract

The invention discloses a method for fast predicting the injurious insect invading degree of tea trees based on an electronic nose. Tea tree leaves are thoroughly washed, dust is removed, and a healthy and undamaged tea tree is selected as a detected object. The tea trees are grouped, injurious insects with different numbers are transplanted to different tea tree sample groups, the tea trees subjected to different kinds of treatment are placed into an electronic nose sample headspace device to stand still for a period of time, then the electronic nose is used for detection, the healthy and undamaged tea tree is adopted as a control group, a sensor array is optimized through a principal component analysis method according to acquired data, and the number of the sensors is reduced. A partial least squares method regression model is adopted for building a quantitative prediction model between the response value of the optimized sensor array and the injurious insect invading degree. The method for fast predicting the injurious insect invading degree of the tea trees is provided, the tea samples are not damaged, operation is easy, a good prediction effect is achieved, and high utilization and popularization value is achieved.

Description

technical field [0001] The invention relates to a method for quickly and non-destructively detecting the invasion degree of crop pests, in particular to a method for rapidly predicting the invasion degree of tea tree pests based on an electronic nose. Background technique [0002] According to statistics, the annual consumption of tea in my country has reached about 660,000 tons, and the per capita tea consumption is 0.45 kg / year. Tea has had an important impact on Chinese society, history, culture and real life. From a global perspective, tea has become a global natural beverage. And it is popular all over the world with its natural and healthy reputation, and its total consumption ranks first among all soft drinks except water. [0003] In the production process of tea, the quality (health status) of the tea tree plays a vital role in the quality and yield of tea. Every year, due to problems such as tea plant pests and diseases, the yield and quality of tea cause huge l...

AI Technical Summary

Problems solved by technology

At present, there is no relevant report on the detection of tea tree damage using electronic nose, and electronic nose is a rapid

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