Citrus huanglongbing detection method based on electronic nose

Abstract

The invention provides a Citrus Huanglongbing detection method based on an electronic nose. The method comprises the following steps: collecting headspace volatile matters of different disease types of citrus leaves through a gas collection device; cleaning a sealed cavity of the electronic nose; collecting headspace volatile matters in the gas collection device, and injecting the headspace volatile matters into the electronic nose; performing feature extraction on the response curve of each sensor in the electronic nose by using an extreme value method; taking the extracted features as original data, and selecting a linear discriminant analysis algorithm to establish a mode recognition model; and 6, repeating the previous four steps to extract the feature data of the to-be-detected sample, inputting the features of the to-be-detected sample into the mode recognition model established in the step 5, and predicting whether the citrus leaves are infected with the Huanglongbing. According to the method, the problem that zinc deficiency and zinc deficiency type huanglongbing cannot be accurately detected in the current huanglongbing detection field is solved, different stress (huanglongbing, zinc deficiency and zinc deficiency type huanglongbing) of citrus can be accurately distinguished by using the electronic nose, and the method has practical application value.

Description

technical field [0001] The invention relates to the field of detection of plant diseases, in particular to an electronic nose-based detection method for citrus Huanglongbing. Background technique [0002] Citrus huanglong is highly contagious and destructive, which has a devastating impact on citrus production. After citrus plants are infected with Huanglongbing, they will produce specific volatile organic compounds, which attract psyllids to suck, and then spread to the whole orchard through psyllids, which is extremely contagious. The disease causes citrus plants to show mottled leaves, weak tree vigor, red nose fruit or green fruit that does not change color, etc. Once the plant is infected with Huanglongbing, the quality of the fruit will be seriously affected and the edible value will be lost, and the citrus plant will die in severe cases. In my country, Huanglongbing disease spreads almost all over the citrus producing areas, which seriously restricts the development ...

AI Technical Summary

Problems solved by technology

At present, the most reliable detection method for Huanglongbing is PCR detection, which can quantitatively detect Candida species related to citrus Huanglongbing, and is the most effective for detection of Huanglongbing. The operation is cumbersome and difficult to apply in actual production

Because citrus huanglongbing has an incubation period ranging from several months to several years, and the leaves do not have any symptoms during the incubation period, other detection methods that rely on typical symptoms of leaves, such as visual observation and detection methods based on map technology, cannot achieve relatively high good detection effect

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