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Winter wheat head blight hyperspectral remote sensing monitoring method based on wheat ear scale analysis

A technology for hyperspectral remote sensing and scab, which can be used in color/spectral property measurement, material analysis, material analysis by optical means, etc., and can solve problems such as low spectral resolution

Active Publication Date: 2019-08-16
ANHUI UNIVERSITY
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Problems solved by technology

[0005] The identification and classification of wheat head blight mentioned above are mostly based on imaging hyperspectral data. Compared with the non-imaging hyperspectral data of portable surface feature spectrometer (ASD), the spectral resolution is lower, which is not conducive to more detailed analysis of spectral information.

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  • Winter wheat head blight hyperspectral remote sensing monitoring method based on wheat ear scale analysis

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Embodiment Construction

[0033] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:

[0034] Such as figure 1 Shown, a kind of winter wheat head blight hyperspectral remote sensing monitoring method based on wheat ear scale analysis of the present invention, it comprises the following steps:

[0035] The first step is the acquisition of hyperspectral remote sensing data. Obtain the ear reflectance spectral curve, and take the average value of the spectral reflectance values ​​of 20 wheat ears as the spectral reflectance value of wheat ears.

[0036] The spectrum measurement adopts ASD FieldSpec Pro (350-2500nm) spectrometer, and the spectral resolution of the spectrometer is 3nm (350-1000nm) and 10nm (1000-2500nm). The measurements are all carried out at noon time (10:00-14:00) with sufficient sunshine. During the me...

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Abstract

The invention relates to a winter wheat head blight hyperspectral remote sensing monitoring method based on wheat ear scale analysis, and compared to the prior art, overcomes the defect that remote sensing monitoring on the head blight does not aim at wheat ear scale analysis. The winter wheat head blight hyperspectral remote sensing monitoring method comprises the following steps of: acquiring hyperspectral remote sensing data; carrying out data preprocessing; constructing a wheat head blight index; establishing a multiple stepwise regression model; and obtaining a remote sensing monitoring result. According to the invention, after the head blight index is constructed by utilizing a normalization ratio of a first-order differential sum in sensitive wavebands, unary linear regression and multiple stepwise regression models of the head blight index and disease severity are established, so as to implement effective monitoring on the wheat head blight and provide ideas and bases for noninvasive diagnosis on the head blight of infected wheat on the canopy scale and the field scale.

Description

technical field [0001] The invention relates to the technical field of remote sensing monitoring, in particular to a hyperspectral remote sensing monitoring method for scab of winter wheat based on wheat ear scale analysis. Background technique [0002] Wheat head blight, commonly known as rotten wheat heads and wheat ear blight, is a worldwide epidemic disease caused by Fusarium graminearum, which has the characteristics of strong explosiveness. Scab mainly occurs on the ears of wheat, and when it occurs in a large area, it can lead to a severe reduction in wheat yield, and the infected wheat contains toxins, which can cause human and animal poisoning after eating. [0003] At present, there are three mainstream methods for the monitoring and prediction of wheat scab. One is the traditional visual inspection method, that is, the occurrence of scab is determined by measuring the density of scab spores; the other is the weather forecast of scab. Analyze the correlation betwe...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/25
CPCG01N21/25G01N2021/1797
Inventor 黄林生张寒苏丁文娟黄文江胡廷广翁士状赵晋陵曾玮张东彦
Owner ANHUI UNIVERSITY
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