Method for eliminating influence on infrared spectrum detection of soil total nitrogen content from moisture

Abstract

The invention provides a method for eliminating an influence on infrared spectrum detection of soil total nitrogen content from moisture. The method comprises: scanning a soil sample set with spectrum to obtain near-infrared absorbance value of each soil sample in the soil sample set in a scheduled wavelength range, designing a normalized moisture absorption index MAI, classifying soil according to a gradient of the MAI and putting forward a corresponding correction factor, taking advantaging the correction factor to correct original absorption photometry and obtaining corrected absorption photometry data, selecting a plurality of wavelength corrected absorption photometry data as total nitrogen predictive factors, and taking advantages of a BP neural network to build a soil total nitrogen detection module to detect the total nitrogen content. By means of the method for eliminating the influence to infrared spectrum detection of the soil total nitrogen content from the moisture, experiment pretreatment process is reduced, the influence on the accuracy of the infrared spectrum detection of the soil total nitrogen content from the soil moisture is eliminated, and detection efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of spectral detection, in particular to a method for eliminating the influence of water on the detection of soil total nitrogen content by near-infrared spectroscopy. Background technique [0002] Soil total nitrogen content is one of the most important soil nutrients. Many studies have explored models for detecting soil total nitrogen content using near-infrared spectroscopy, and the model accuracy has reached a fairly high level. [0003] Near Infrared Spectroscopy (Near Infrared Reflectance Spectroscopy for short NIRS) analysis method can be used to predict the total nitrogen level in the soil. The basic process is: first select a suitable sample set, perform spectral scanning, and establish a soil nitrogen calibration model, that is, The correlation regression equation between the near-infrared spectrum data and the nitrogen composition value of soil samples determined by laboratory standard analysis was...

AI Technical Summary

Problems solved by technology

But ordinary people can't master the operation process of professional chemistry

[0006] Invention patent "Near-infrared Spectroscopy-Based Non-destructive Measurement of Soil Nutrient Content Method", using 5 methods to establish a model for predicting soil nutrient parameters, but requires cumbersome soil sample pretreatment process and ASD spectrometer to complete nutrient prediction, The whole process needs to be completed under the control of the computer

It can be seen that there are also some problems in these studies, mainly in the fact that soil moisture will seriously interfere with the prediction of soil total nitrogen content, and a cumbersome pretreatment process is required to eliminate the prediction accuracy of soil moisture on the content of soil nitrogen, phosphorus and other nutrients.

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