Grade estimation method for rice surface soil nitrogen fertilizer application

A technology for grade evaluation and surface soil, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as the judgment of nitrogen fertilizer application grades

Active Publication Date: 2015-07-15
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, spectral techniques are mostly used for quantitative estimation of soil nitrogen, and no research has been conducted to determine the level of nitrogen fertilizer application.

Method used

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  • Grade estimation method for rice surface soil nitrogen fertilizer application
  • Grade estimation method for rice surface soil nitrogen fertilizer application
  • Grade estimation method for rice surface soil nitrogen fertilizer application

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0031] Such as figure 1 Shown, the present invention comprises the following steps:

[0032] Step 1) Using a fiber-optic hyperspectral instrument to measure the visible-near-infrared diffuse reflectance spectrum data of multiple rice topsoils, and simultaneously collect multiple rice topsoils for chemical testing of soil total nitrogen content;

[0033] Step 2) calculate the nitrogen fertilizer application grade of this sample according to the total nitrogen content of each rice topsoil soil sample;

[0034] Step 3) determine the kernel function and the training method of the support vector machine, and use the spectral data of each rice topsoil sample and the corresponding nitrogen fertilizer application grade data as input data, i.e. training data, input in the support vector machine model;

[0035] Step 4) According to step 1), collect a plurality ...

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Abstract

The invention discloses a grade estimation method for rice surface soil nitrogen fertilizer application. An optical fiber type hyper spectrometer is adopted for measuring visible-near infrared diffuse reflection spectrum data of a plurality of pieces of rice surface soil, and meanwhile, a plurality of pieces of surface soil are collected for soil total nitrogen content chemical test; the nitrogen fertilizer application grade of a sample is calculated according to the total nitrogen content of each rice surface soil sample; a training mode and a kernel function of a support vector machine are determined, and the spectrum data and the corresponding nitrogen fertilizer application grade of each soil sample are used as input data and are input into a support vector machine model; then, the visible-near infrared diffuse reflection spectrum data of a plurality of rice surface soil samples to be tested is collected, and is input into the trained support vector machine model for judging and comparing, and after the judgment through the trained support vector machine model, the nitrogen fertilizer application grade of each sample to be tested is calculated and output. The grade estimation method has the advantages that the reasonable nitrogen fertilizer application of the rice paddy is guided, the nitrogen fertilizer is reasonably used, and the rice paddy ecological environment and the whole natural environment ecological system are effectively protected.

Description

technical field [0001] The invention relates to a soil attribute hyperspectral prediction method, in particular to a method for evaluating the level of nitrogen fertilizer application on rice topsoil. Background technique [0002] Soil nitrogen fertilizer is an important part of the three elements of soil fertility. It is an important nutrient element that affects the growth and development of crops. Its concentration will affect the yield and quality of crops. Scientific management of nitrogen fertilizer application in farmland can enable crops to effectively use fertilizers and reduce environmental pollution and soil quality degradation caused by excessive fertilization. application level. [0003] The traditional soil testing and formula fertilization technology has the disadvantages of high cost and time-consuming to measure the amount of nitrogen fertilizer applied in the surface soil. Using visible-near-infrared spectral analysis technology to quickly detect soil att...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G01N21/31
Inventor 李硕史舟王乾龙周银
Owner ZHEJIANG UNIV
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