Soil total nitrogen real-time detection method based on soil visible-near infrared spectrum library

Abstract

The invention discloses a soil total nitrogen real-time detection method based on a soil visible-near infrared spectrum library. The soil total nitrogen real-time detection method comprises the following steps: measuring data of visible-near infrared spectrums and data of total nitrogen contents of soil samples across the country to establish a soil visible near infrared spectrum-total nitrogen database; collecting the data of the visible-near infrared spectrums of a plurality of soil samples to be detected; selecting model establishing sample from the spectrum library for each sample to be detected to form a calibration subset by using a local weighted regression algorithm to establish a total nitrogen linear regression model based on the soil visible-near infrared spectrum database to obtain the total nitrogen contents of the samples to be detected, and evaluating accuracy of a prediction model. Compared with the conventional method for establishing a prediction model by merely using all the soil sample spectrums in the region, the prediction model established by the method is excellent in stability and universality, so that the prediction capability is significantly improved and the defects that the soil spectrums are repeatedly collected, the data format is non-uniform and is incapable of being shared, and the established models are incapable of being universally used can be avoided.

Description

technical field [0001] The invention relates to a rapid detection method for soil total nitrogen, in particular to a real-time detection method for soil total nitrogen based on a soil visible-near-infrared spectral library. Background technique [0002] Soil total nitrogen 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. The traditional chemical analysis method has the disadvantages of slow speed, high cost, and environmental pollution in the determination of soil total nitrogen content, which cannot meet the requirements of precision agriculture for rapid detection of field soil total nitrogen content and digital mapping. Spectral analysis technology can quickly and easily detect soil attribute information, and has the advantages of environmental protection, non-destructive, field analysis, and simultaneous detectio...

AI Technical Summary

Problems solved by technology

However, no one has applied the locally weighted regression algorithm to the prediction of soil total nitrogen content in large-scale soil spectral libraries.

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