A near-infrared-band hyperspectral diagnosis method for detecting content of nitrogen in rubber tree leaves

Abstract

The invention provides a near-infrared-band hyperspectral diagnosis method for detecting the content of nitrogen in rubber tree leaves. The method comprises the following steps: 1) selecting rubber tree sample leaves; 2) collecting hyperspectral data of the rubber tree sample leaves at the near-infrared band; 3) carrying out pretreatment on the rubber tree leaf samples and then, measuring the content of nitrogen in the pretreated rubber tree leaf samples; 4) obtaining average spectrum of different hyperspectral data point selection spectroscopic data of the rubber tree leaf hyperspectral databy combining a PCA (principal component analysis) method and a K-means clustering method; 5) carrying out modeling on the average spectrum of the different hyperspectral data point selection spectroscopic data by utilizing a partial least-squares regression algorithm, and selecting an optimal hyperspectral data point selection method according to a decision coefficient of a training set adopted bymodeling; and 6) predicting the content of nitrogen in the rubber tree leaves by utilizing the established model.

Description

technical field [0001] The present invention relates to the technical field of hyperspectral near-infrared band non-destructive testing; specifically, the present invention relates to a near-infrared band hyperspectral diagnostic method based on principal component analysis combined with K-means clustering algorithm for the nitrogen content of rubber tree leaves. Non-destructive detection of nitrogen content in rubber tree leaves using near-infrared band hyperspectral technology. Background technique [0002] Natural rubber has excellent mechanical strength and comprehensive mechanical properties, and plays an important role in military, medical and other fields. Due to the huge economic benefits, rubber trees are widely planted in Hainan Province. The output of natural rubber, the quality of rubber production and the rubber production life of rubber trees are closely related to the nutritional level of rubber trees. As one of the most important nutritional elements of rub...

AI Technical Summary

Problems solved by technology

However, at present, many annual crops and fruits and vegetables are studied by using near-infrared hyperspectral technology, and the results obtained cannot be directly used for economic crops such as rubber trees.

[0004] At present, for the information extraction of hyperspectral data, people mostly adopt the method of randomly selecting points and artificially dividing the region of interest. The above methods are relatively lack of scientific and pertinence

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