Diagnostic method for insect attacks on crops by utilizing volatile matter

Abstract

The invention discloses a diagnostic method for insect attacks on crops by utilizing a volatile matter. The method comprises the following steps: 1) placing a crop seedling to be detected in a static headspace sampler and standing the crop seedling; 2) introducing headspace gas in the static headspace sampler into an electronic nose sensor array reaction chamber, wherein, a response signal is obtained through reaction between a sensor array and the headspace gas, and the response signal is the ratio of the resistance obtained after sensors contact with the headspace gas to the resistance obtained when the sensors pass through clean air; 3) extracting an electronic nose signal at the 60th second as characteristic data and carrying out feature analysis on the characteristic data about an insect attack by using the methods of principal component analysis and linear discriminant analysis; 4) establishing a mathematical model of the relationship between response signals of the sensors and degrees of the insect attack through gradual discriminant analysis and an artificial neural network. The method provided in the invention overcomes defects in existing detection technology for insect attacks on crops; the invention has the advantages of a simple detection method, easy operation, a short period of time, high precision and capacity of accurately detecting degrees of insect attacks on crops.

Description

technical field [0001] The invention relates to the detection technology of crop pests in the growth period, in particular to a method for diagnosing crop pests using volatiles, inventing a static sampling device for crops volatiles, and a new method for detecting pests using an electronic nose. Background technique [0002] Crops will be seriously harmed by pests during the growth period, and pests are an important reason for crop yield reduction. In the control system of crop pests, the diagnosis of pests has been a weak link so far. How to quickly and accurately judge the damage of crop pests is an important prerequisite for formulating correct preventive measures, reducing the incidence of pests, and ensuring agricultural production. [0003] The commonly used diagnostic method for crop pests is the field observation method, in which experienced producers or plant protection experts inspect the crop color, leaf wilting or curling degree, leaf or canopy damage ratio per u...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that it is only suitable for large-scale pest monitoring, and the accuracy is not high

[0010] Most of the existing machine detection technologies for crop pests are based on the combination of pest characteristics such as (acoustic characteristics, appearance characteristics), but few studies are carried out in combination with the characteristics of crops themselves, and few use crop volatiles. There are no reports on the detection of rice insect pests, and there is no report on the static sampling device for the extraction of crop volatiles

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