Method for rapidly predicting pest eating time of tea trees on basis of electronic nose

Abstract

The invention discloses a method for rapidly predicting pest eating times of tea trees on the basis of an electronic nose. Healthy and non-damaged tea trees are selected and used as detection objects. Pests are transplanted on different tea tree sample sets, wherein the numbers of the pests on the tea tree sample sets are the same; after different pest eating times, the tea trees are placed in a sample headspace device of the electronic nose to be subjected to standing for a period of time, and detection is conducted through the electronic nose; healthy and non-damaged tea trees are used as a control group, feature extraction is conducted on obtained data through a stable value method, a wavelet analysis method and a quadratic term fitting method, the optimal feature extraction method is selected through two different mode recognition algorithms, and a quantitative predicting model between feature values extracted through the optimal feature extraction method and the pest eating times is established through a linear regression algorithm. The method for rapidly predicting the pest eating times of the tea trees is provided, no damage is caused to the tea tree samples, operation is simple, a good predicting effect is achieved, and high application and popularization value is achieved.

Description

technical field [0001] The invention relates to a method for rapidly and non-destructively detecting crop diseases and insect pests, in particular to a method for rapidly predicting the feeding time of tea plant 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 losses...

AI Technical Summary

Problems solved by technology

At present, there is no relevant report on the use of electronic nose to detect the time of tea tree damage. However, as a fast and accurate detection method, electronic nose has broad application prospects in the detection of plant pests.

Images