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Method for identifying Candidatus Liberibacter spp. of different varieties of citrus by adopting model transfer

A technology of citrus huanglongbing and model transfer, which is applied in the field of identifying different varieties of citrus huanglongbing by model transfer, can solve the problems of large influence on citrus plants, high data latitude, unfavorable development of portable instruments, etc., and achieves the effect of good recognition effect.

Inactive Publication Date: 2019-10-22
SHANDONG IND TECH RES INST OF ZHEJIANG UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, there is a common problem of high data latitude, which is not conducive to the development of portable instruments, and the data dimension needs to be simplified; the established citrus Huanglongbing model must be applicable to infected leaves at different stages of infection (from no symptoms to symptoms); Since the season and orchard environment have a great influence on citrus plants, the established discrimination model for citrus Huanglongbing needs to be suitable for different seasons and different orchards; different varieties of citrus have different susceptibility to Huanglongbing, and the established discrimination model needs to be Citrus huanglongbing is also common in other varieties

Method used

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  • Method for identifying Candidatus Liberibacter spp. of different varieties of citrus by adopting model transfer
  • Method for identifying Candidatus Liberibacter spp. of different varieties of citrus by adopting model transfer
  • Method for identifying Candidatus Liberibacter spp. of different varieties of citrus by adopting model transfer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] 1. Collection of citrus leaves

[0061] Wenzhou satsuma leaves from Orchard 1 and Orchard 2 were collected in Qian’aoyang Village, Yanjiang Town, Linhai City, Zhejiang Province from June to November 2016 and Shangbaiyan Village, Baoshan Town, Linhai City from January to December 2017, respectively.

[0062] Three healthy and three HLB-infected plants identified by qPCR were selected from two different orchards as research objects. The diseased trees in orchard 1 showed typical HLB symptoms in autumn, while the diseased trees in orchard 2 showed no symptoms throughout the year.

[0063] Because the pathogenic bacteria of citrus huanglongbing is unevenly distributed in the host body, samples were taken from the four directions of each citrus tree, from the southeast to the north. Choose 3 treetops with similar growth in each direction of each tree, cut off and immediately wrap the incision of the treetops with wet cotton, then put them into a ziplock bag, and finally pla...

Embodiment 2

[0123] Example 2: Model transfer

[0124] In this experiment, the method algorithm of selecting PDS combined with model updating was used to eliminate the spectral differences between different varieties of citrus. The main principle of the PDS algorithm is as follows: Take the i-th wavelength of the sample (to be corrected) as the center, and take the standard sample spectral matrix I with a width of j+k+1 ss,j+k+1 (from the wavelength point i-j to the wavelength point i+k) and the standard sample spectral matrix I of the i-th wavelength of the main species mms,i , calculate the conversion factor F of the wavelength point i . Then traverse each wavelength point to obtain the conversion matrix F of all wavelength points. Specifically, it is realized through the following steps:

[0125] (1) if Figure 9 As shown, the spectral matrix I of the standard sample whose window size is j+k+1 is taken out from the variety (the sample to be corrected) ss,j+k+1 Composition matrix X...

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Abstract

The invention discloses a method for identifying Candidatus Liberibacter spp. of different varieties of citrus by adopting model transfer. According to the method, an LS-SVM discrimination model for citrus Candidatus Liberibacter spp. in different seasons is established based on a hyperspectral image technology, and then spectral data of different varieties of citrus are corrected by adopting a piecewise direct correction algorithm (PDS) in combination with a model updating method, so that the citrus Candidatus Liberibacter spp. in different varieties and different seasons is identified.

Description

[0001] (1) Technical field [0002] The invention relates to a method for identifying huanglongbing of different varieties of citrus by using model transmission. [0003] (2) Background technology [0004] Optical technology has the advantages of fast, non-destructive and accurate detection, and has gradually been applied to the monitoring of plant growth status and diagnosis of plant diseases and insect pests at different scales (near-Earth, UAV, aircraft and satellite). Among them, the map technology based on the electromagnetic spectrum such as visible (400-700nm), near-infrared (700-1100nm), short-wave infrared (1100-2500nm) and thermal infrared (8-12μm) is widely used in crop growth status monitoring and pest diagnosis. . The reflection, absorption, and transmittance of different wavelengths of light by plants can reflect different physiological state information and chemical composition information inside the plant, such as leaf surface and internal structure, pigment, w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06K9/32G06K9/40G01N21/31
CPCG01N21/31G06V20/194G06V20/188G06V10/25G06V10/30G06F18/2411G06F18/253
Inventor 聂鹏程蔺磊瞿芳芳
Owner SHANDONG IND TECH RES INST OF ZHEJIANG UNIV
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