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A Soil Near Infrared Spectral Analysis and Prediction Method Based on Sparse Representation Technology

A near-infrared spectroscopy and sparse representation technology, applied in the field of soil near-infrared spectroscopy analysis and prediction based on sparse representation technology, can solve problems such as the inability to comprehensively analyze large quantities of soil components, and achieve the effect of improving robustness

Active Publication Date: 2018-09-28
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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Problems solved by technology

[0003] The purpose of the present invention is to solve the defect that soil components cannot be comprehensively analyzed in large quantities in the prior art, and to provide a soil near-infrared spectrum analysis and prediction method based on sparse representation technology to solve the above problems

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  • A Soil Near Infrared Spectral Analysis and Prediction Method Based on Sparse Representation Technology
  • A Soil Near Infrared Spectral Analysis and Prediction Method Based on Sparse Representation Technology
  • A Soil Near Infrared Spectral Analysis and Prediction Method Based on Sparse Representation Technology

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[0028] 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:

[0029] Such as figure 1 As shown, a kind of soil near-infrared spectrum analysis prediction method based on sparse representation technology described in the present invention comprises the following steps:

[0030] The first step is the acquisition and preprocessing of the training sample soil set. The spectral data of different training soil sample sets are collected in a sealed dark room by a spectrometer, and preprocessed to form the spectral feature matrix of the training sample soil set. It includes the following steps:

[0031] (1) Use a spectrometer to collect the spectral data of different training soil sample sets in a sealed dark room, and scan the soil of each training sample 40 times to obtain the average value. The Fi...

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Abstract

The invention relates to a soil near-infrared spectrum analysis and prediction method based on sparse representation technology, which solves the defect that soil components cannot be comprehensively analyzed in large quantities compared with the prior art. The invention comprises the following steps: acquisition and preprocessing of training sample soil set; constructing a classification prediction model based on sparse representation; acquisition and preprocessing of test samples; inputting spectral data feature vectors of test soil samples into the constructed classification prediction model, and completing Classification predictions for soil composition of test samples. The present invention performs soil near-infrared spectrum analysis and prediction based on a sparse representation framework, and improves the prediction accuracy of near-infrared spectrum soil main components and the robustness of the model.

Description

technical field [0001] The invention relates to the technical field of data analysis and processing, in particular to a soil near-infrared spectrum analysis and prediction method based on sparse representation technology. Background technique [0002] Most of the farmlands in my country are facing the problems of insufficient composition and serious soil degradation. The medium and low-yield fields that need to be transformed are large and widely distributed. There is a very realistic and urgent need to understand and master the information of farmland soil composition. Difficult for many reasons. Since the composition content of farmland is variable, in the long run, the distribution of soil composition is a dynamic process, resulting in the abundance and deficiency and uneven distribution of soil composition. How to use modern scientific and technological means to obtain timely and accurate information on soil composition content, to formulate reasonable fertilization stra...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/02G06K9/62
CPCG16Z99/00G06F18/285G06F18/214
Inventor 王儒敬陈天娇谢成军张洁李瑞陈红波宋良图汪玉冰
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI