Method for rapidly predicting content of soil organic matters based on eleven spectrum wavelet coefficients

A technology of organic matter content and wavelet coefficient, applied in the field of agricultural informatization, can solve problems such as not suitable for large-scale rapid measurement, long test cycle, complicated steps, etc., and achieve the effect of avoiding complicated operations, low cost and simple operation

Inactive Publication Date: 2014-07-30
泰顺派友科技服务有限公司
View PDF1 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the potassium dichromate volumetric method is generally used to measure the content of soil organic matter. This method has complicated steps, high cost, long test cycle, and requires a large amount of chemical reagents, which is not suitable for large-scale rapid determination.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for rapidly predicting content of soil organic matters based on eleven spectrum wavelet coefficients
  • Method for rapidly predicting content of soil organic matters based on eleven spectrum wavelet coefficients

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The present invention will be further described below in conjunction with the embodiments and drawings.

[0016] The fast prediction method of soil organic matter content based on 11 spectral wavelet coefficients includes the following steps.

[0017] (1) Collect a total of 90 representative soil samples. After the samples are ground and air-dried, the oil bath heating potassium dichromate volumetric method is used to obtain the actual value of the organic content of the samples. The 90 samples were sorted according to the organic matter content, and then the samples were taken out according to the ratio of 2:1 as the modeling set and the prediction set (see Table 1).

[0018] Table 1 Organic matter content of typical soil samples (unit: g / Kg)

[0019] .

[0020] (2) Measure the spectral reflectance value of the soil sample at 400-2450nm at room temperature. The spectrum is obtained by the FieldSpec Pro 3100 spectrometer of ASD, USA. The light source is a 14.5V halogen lamp ma...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for rapidly predicting content of soil organic matters based on eleven spectrum wavelet coefficients. The method is characterized by comprising the following steps: (1) collecting a soil diffuse reflectance value (R) with the spectrum range of 400-2450nm at the wavelength interval of 1nm; (2) converting the soil diffuse reflectance value into a soil absorbance value through a formula of A=-log(R); (3) performing discrete wavelet transform on the soil absorbance value by selecting a sym7(Symlets7) wavelet base function, extracting scale-5 low-frequency wavelet coefficients, and obtaining 75 low-frequency wavelet coefficients; (4) compressing the 75 low-frequency wavelet coefficients by utilizing a successive projections algorithm, and extracting the 9th, 11th, 22nd, 27th, 35th, 39th, 48th, 61st, 64th, 65th and 67th characteristic wavelet coefficients, totaling eleven wavelet coefficients; and (5) substituting the eleven characteristic wavelet coefficients into a multiple linear regression calculation formula, and calculating to obtain the content of soil organic matters. The method can rapidly predict the content of soil organic matters and is suitable for development and utilization of portable test instruments.

Description

Technical field [0001] The invention belongs to the field of agricultural informationization, and specifically relates to a method for quickly predicting soil organic matter. Background technique [0002] Soil organic matter is mainly composed of organic compounds formed by the transformation and degradation of biological remains, including cellulose, fatty compounds, crude protein, and various simpler degradation products and humus polymers. It is one of the core indicators of soil fertility. The rapid detection of soil organic matter content is of great significance for accurate fertilization of farmland. At present, the potassium dichromate volumetric method is generally used to determine the content of soil organic matter. This method has complicated steps, high cost, long test cycle, and requires a large amount of chemical reagents, which is not suitable for large-scale rapid determination requirements. [0003] Since the spectrum in the range of 400-2450nm contains informati...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359
Inventor 不公告发明人
Owner 泰顺派友科技服务有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap