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Soil nutrient estimation method and device based on multispectral image

A multi-spectral imaging and soil nutrient technology, applied in color/spectral property measurement, calculation, data processing application, etc., can solve the problem of time-consuming and laborious soil nutrient estimation, and achieve the effect of wide coverage and fast analysis speed.

Pending Publication Date: 2022-05-17
杭州领见数字农业科技有限公司
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Problems solved by technology

[0007] A soil nutrient estimation method based on multi-spectral images provided by the present invention aims to solve the problem in the prior art that large-area soil nutrient estimation requires a large amount of collected nutrients and requires more accurate chemical analysis, resulting in time-consuming and laborious soil nutrient estimation.

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  • Soil nutrient estimation method and device based on multispectral image
  • Soil nutrient estimation method and device based on multispectral image
  • Soil nutrient estimation method and device based on multispectral image

Examples

Experimental program
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Effect test

Embodiment 1

[0055] Such as figure 1 As shown, a soil nutrient estimation method based on multispectral images includes the following steps:

[0056] S110. Acquire measured soil nutrient data and hyperspectral data of the measured soil, and divide the soil nutrient data into a modeling set and a verification set;

[0057] S120. Establish a correlation relationship between the modeling set and the hyperspectral data, and determine the best wave band corresponding to each nutrient;

[0058] S130, using the mathematical transformation form of the optimal wave band as an independent variable to establish a regression equation with each nutrient, and determine the optimal wavelength corresponding to each nutrient according to the verification set;

[0059] S140. Obtain the regression equation of the nutrient corresponding to the optimal wavelength according to the regression analysis, and obtain the remote sensing image inversion model to estimate the soil nutrient to be measured.

[0060] As...

Embodiment 2

[0065] Such as figure 2 and image 3 As shown, a soil nutrient estimation method based on multispectral images, including:

[0066] S210. Acquire measured soil nutrient data and hyperspectral data of the measured soil, and divide the soil nutrient data into a modeling set and a verification set;

[0067] S220. Establish a correlation relationship between the modeling set and the hyperspectral data, and determine the best wave band corresponding to each nutrient;

[0068] S230. Perform a mathematical transformation on the optimal waveband, the form of the mathematical transformation is the reciprocal reflectance, the first derivative of the reflectance, the first derivative of the reciprocal reflectance, and the first logarithmic derivative of the reciprocal reflectance;

[0069] S240. Using the mathematical transformation form of the optimal wave band as an independent variable, respectively establish a regression equation with each of the nutrients;

[0070] S250. Verify ...

Embodiment 3

[0076] Such as Figure 4 As shown, a soil nutrient estimation method based on multispectral images, including:

[0077] S310. Resample the optimal wavelength to a corresponding band, and establish a first regression equation between the resampled band and nutrients according to regression analysis;

[0078] S320, using regression analysis to establish a second regression equation between the satellite remote sensing data and the resampled band;

[0079] S330. Combining the first regression equation and the second regression equation to obtain a remote sensing image inversion model to estimate soil nutrients to be measured.

[0080]In Example 3, in the establishment of the inversion model, the hyperspectral data is resampled to the satellite band wide space and a regression model is made. In order to realize the optimization of the soil fertility hyperspectral inversion model based on the measured spectral curve, the hyperspectral data needs to be Resample to the band width c...

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Abstract

The invention provides a soil nutrient estimation method and device based on a multispectral image for rapid monitoring of soil nutrients. Comprising the following steps: acquiring actually measured soil nutrient data and hyperspectral data of actually measured soil, and dividing the soil nutrient data into a modeling set and a verification set; establishing a correlation between the modeling set and the hyperspectral data, and determining an optimal wave band corresponding to each nutrient; taking the mathematical transformation form of the optimal wave band as an independent variable to establish a regression equation with each nutrient, and determining the optimal wavelength corresponding to each nutrient according to the verification set; a regression equation of nutrients corresponding to the optimal wavelength is obtained according to regression analysis, and a remote sensing image inversion model is obtained so as to estimate the nutrients of the soil to be measured. The model provides technical support for rapid monitoring of land nutrients, relieves the pain point that time and labor are wasted in a soil testing formula, reduces the cost of farmland nutrient monitoring, and provides guarantee for the agricultural digital process through geographic information and remote sensing technology.

Description

technical field [0001] The invention relates to the field of agricultural remote sensing, in particular to a method and device for estimating soil nutrients based on multispectral images. Background technique [0002] Land is the most important material basis for agricultural production, the most basic means of production and the most basic living guarantee for farmers. In recent decades, with the continuous progress of industrialization and informatization, my country's agricultural output has been greatly improved. In this process, the scientific management of nutrients has played an important role. Scientific application of chemical fertilizers has become one of the main measures to increase agricultural production. It can replenish soil nutrients in time; it can improve soil fertilizer supply capacity; it can maintain the dynamic balance of soil nutrients; it can make crops and the environment in a good symbiotic state; it can ensure crop production. Harvest and more. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/02G01N21/25
CPCG06Q10/0639G06Q50/02G01N21/25
Inventor 周祖煜陈煜人王俊霞余敏李天齐张澎彬白博文
Owner 杭州领见数字农业科技有限公司
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