Method for structuring wheat blumeriagraminis speer early detection model by extracting sensitive parameters on basis of subwindow permutation analysis

A technology of sensitive parameters and sub-windows, which is applied in the direction of electrical digital data processing, special data processing applications, color/spectral characteristic measurement, etc., and can solve problems such as non-repeatable values ​​and inability to filter optimal variable sets

Inactive Publication Date: 2017-05-31
NANJING AGRICULTURAL UNIVERSITY
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Problems solved by technology

Although the variable importance evaluation method based on rearrangement is highly evaluated in the random forest algorithm, each variable in the random forest is only randomly rearranged o

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  • Method for structuring wheat blumeriagraminis speer early detection model by extracting sensitive parameters on basis of subwindow permutation analysis
  • Method for structuring wheat blumeriagraminis speer early detection model by extracting sensitive parameters on basis of subwindow permutation analysis
  • Method for structuring wheat blumeriagraminis speer early detection model by extracting sensitive parameters on basis of subwindow permutation analysis

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Embodiment 1

[0070] From November 2014 to June 2015, it was carried out in the Pailou Teaching and Research Base of Nanjing Agricultural University (118°15′E, 32°1′N). The experimental variety was the susceptible wheat variety “Shengxuan No. 6” (Vh) "Yangfumai No. 4" (Vm), a medium-sensitivity wheat variety, with a plot area of ​​6m 2 (3m×2m), 3 repetitions. Fertilization and management conditions are the same in all plots. Nitrogen, phosphorus and potassium fertilizers are urea, superphosphate and potassium chloride respectively. The powdery mildew fungus in the test field was inoculated at the late stage of jointing, and a row of 8 plots in the east was used as an induction row, and 4 plots were selected in the upwind direction of the west side of the test field, surrounded by plastic film for isolation treatment, and used as a normal control area.

[0071] The hyperspectral reflectance of wheat leaves was measured using a FieldSpecPro FR2500 spectrometer (band range 350-2500nm, field a...

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Abstract

The invention provides a method for structuring a wheat blumeriagraminis speer early detection model by extracting sensitive parameters on the basis of subwindow permutation analysis (SPA). The method comprises the following steps of 1) acquiring the hyperspectral reflectance of an infected wheat; 2) extracting a sensitive wave band from the original wave band of the hyperspectral reflectance through the SPA algorithm; 3) selecting spectral indexes possibly related to diseases in existing research, and extracting sensitive spectral indexes from the spectral indexes through the SPA algorithm; 4) through partial least square-linear discriminant analysis, taking the sensitive wave band or the sensitive spectral indexes as component input variables to structure the wheat blumeriagraminis speer early detection model; 5) testing the wheat blumeriagraminis speer early detection model through the dichotomy algorithm, evaluating model performance through leave-one-out cross validation on the basis of independent susceptible varieties. Therefore, a wheat blumeriagraminis speer sensitive spectrum extracted on the basis of SPA is accurate in characteristic and few in wave bands, and the structured wheat blumeriagraminis speer detection model is simple, high in accuracy and good in stability.

Description

technical field [0001] The invention relates to the technical field of early prediction of plant diseases, in particular to a method for constructing an early monitoring model of wheat leaf powdery mildew by extracting sensitive parameters based on a sub-window rearrangement method. Background technique [0002] Powdery mildew (Blumeria graminis Speer) is a major worldwide disease in wheat production, and it is also one of the main diseases affecting wheat yield. Early identification, rapid monitoring, and quantitative evaluation of wheat powdery mildew are the core key technologies for precise breeding of wheat powdery mildew resistance, precise pesticide application, ecological security and loss assessment. The previous monitoring of crop diseases was mainly through destructive sampling measurement or field investigation of diseased plants to calculate the incidence, severity or disease index, which was often time-consuming, laborious, inefficient, highly subjective, and p...

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Application Information

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IPC IPC(8): G06F17/50G01N21/25
CPCG01N21/25G06F30/20
Inventor 姚霞程涛王文雁刘红艳海德田永超朱艳曹卫星
Owner NANJING AGRICULTURAL UNIVERSITY
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