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Diagnostic method for insect attacks on crops by utilizing volatile matter

A diagnostic method and crop technology, which are applied in neural learning methods, biological neural network models, sampling devices, etc., can solve the problems of no reports of crop volatiles static sampling devices and low accuracy, and eliminate the interference of human subjective factors. Overcome time-consuming and labor-intensive effects

Inactive Publication Date: 2012-02-15
ZHEJIANG UNIV
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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

Method used

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  • Diagnostic method for insect attacks on crops by utilizing volatile matter
  • Diagnostic method for insect attacks on crops by utilizing volatile matter
  • Diagnostic method for insect attacks on crops by utilizing volatile matter

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Embodiment

[0047] The implementation process of the present invention will now be described in detail in conjunction with examples. An example is to use the present invention to detect rice seedlings damaged by different numbers of brown planthoppers, so as to diagnose and evaluate the damage degree of rice.

[0048] The high-quality early rice variety Zhou 903 was selected for the research of this experiment. After the rice seedlings were raised to 20 days old, they were transplanted in plastic pots (Φ8 cm×12 cm) of different sizes according to the needs, with one seedling in each pot, and watered and fertilized regularly. 30cm to 40cm is used for experiments.

[0049] Before the electronic nose experiment, batches of rice seedlings were inoculated. First, the rhizome of each rice plant was covered with a specially processed glass tube (Φ3cm, height 8cm, with many small holes evenly distributed on the surface), and the female adults of N. lugens were inoculated. Put them into glass tu...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N27/04G01N1/24G06N3/08
Inventor 王俊周博
Owner ZHEJIANG UNIV
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