Near-infrared spectral diagnostic method for nitrogen content of leaves of rubber tree

Abstract

The invention provides a near-infrared spectral diagnostic method for nitrogen content of leaves of a rubber tree. The near-infrared spectral diagnostic method comprises the following steps: a first step of selecting leaf samples of the rubber tree; a second step of acquiring spectral data of a near-infrared wave section of the leaf samples of the rubber tree; a third step of pre-processing the leaf samples of the rubber tree, and measuring nitrogen content of the pre-treated leaf samples of the rubber tree; a fourth step of acquiring spectral data of the near-infrared wave section of the leafsamples of the rubber tree to obtain fractional order spectrum; and a fifth step of screening a spectral value which corresponds to the wave section mostly related to the nitrogen content of the leafsamples of the rubber tree in the fractional order spectrum through a competitive self-adaptive weighting algorithm as an independent variable to establish a model; and a sixth step of predicating the nitrogen content of leaves of the rubber tree through the established model.

Description

technical field [0001] The present invention relates to the technical field of near-infrared non-destructive testing; specifically, the present invention relates to a near-infrared spectrum diagnostic method for the nitrogen content of rubber tree leaves based on a fractional order algorithm, which utilizes near-infrared spectroscopy to perform non-destructive detection of the nitrogen content of rubber tree leaves. detection. Background technique [0002] Rubber tree is an important economic crop in Hainan Province, and as the source of natural rubber, an important strategic material in my country, its nutritional status is directly related to the output of natural rubber, the quality of rubber production, and the rubber production life of rubber trees. Therefore, the detection of the nutritional level of rubber trees is extremely important. Nitrogen is one of the most important nutrients for rubber trees, and the nitrogen content is closely related to the growth of rubber...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a near-infrared spectrum diagnosis method for the nitrogen content of rubber tree leaves in view of the above-mentioned defects in the prior art, establish a spectral diagnosis model for the nitrogen content of rubber trees, and apply the fractional order algorithm to In the process of building the model, the impact of background noise and fractional order on the accuracy of the model is considered, so as to realize the rapid, accurate and real-time non-destructive detection of nitrogen content in rubber tree leaves; solve the problem of time-consuming and labor-intensive diagnostic technology of rubber tree nitrogen Requires complex laboratory operations, environmental pollution, and high costs

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