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Tea tree LAI and nitrogen content estimation method based on hyperspectral images

A hyperspectral image and hyperspectral technology, which is applied in the field of tea leaf LAI and nitrogen content detection, can solve the problems of destroying tea leaves and complicated and cumbersome operations

Inactive Publication Date: 2018-06-15
SOUTH CHINA AGRI UNIV
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  • Application Information

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Problems solved by technology

[0005] At present, the traditional chemical method is mainly used to detect the nitrogen content of leaves. Although this detection method is intuitive and accurate, the operation is complicated and cumbersome, and the tea leaves that need to be destroyed cannot be real-time, fast and non-destructive. take measurements

Method used

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  • Tea tree LAI and nitrogen content estimation method based on hyperspectral images
  • Tea tree LAI and nitrogen content estimation method based on hyperspectral images
  • Tea tree LAI and nitrogen content estimation method based on hyperspectral images

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Embodiment

[0065] This embodiment discloses a tea tree LAI estimation method based on hyperspectral images, such as figure 1 As shown, the steps are as follows:

[0066] Step S1, randomly obtain a plurality of tea trees; in this embodiment, randomly obtain more than 100 tea trees.

[0067] Step S2, placing the hyperspectral instrument above each tea tree obtained above, collecting the hyperspectral data of each tea tree above; at the same time measuring the canopy projected area of ​​each tea tree obtained above, and calculating the area of ​​each tea tree obtained above The total area of ​​leaves, and then calculate the LAI of each tea tree obtained above according to the canopy projection area corresponding to each tea tree;

[0068] In this step, for each tea tree obtained in step S1, the process of calculating LAI is as follows:

[0069] For each tea tree, remove all its leaves, and then use a scanner to scan each leaf, obtain the contour area of ​​each leaf according to the data s...

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Abstract

The invention discloses a tea tree LAI and nitrogen content estimation method based on hyperspectral images. The method comprises acquiring multiple tea plants as test samples, carrying out correlation and regression analysis on LAI, nitrogen content, hyperspectral position variable, hyperspectral area variable and vegetation index variable of a tea tree as a test sample, building a final tea treeLAI estimation model and a final tea tree nitrogen content estimation model, acquiring hyperspectral position variable, hyperspectral area variable and vegetation index variable of the tea tree needing the LAI and nitrogen content test, respectively inputting the above variables of the tea tree into the final tea tree LAI estimation model and the final tea tree nitrogen content estimation model and calculating the LAI and nitrogen content of the tea tree. The method has the advantages of real-time estimation of LAI and nitrogen content of a tea tree, fastness and no damage.

Description

technical field [0001] The invention relates to a method for detecting LAI and nitrogen content of tea tree leaves, in particular to a method for estimating tea tree LAI and nitrogen content based on hyperspectral images. Background technique [0002] Tea is one of the daily drinks that Chinese people like, and it is sold all over the world. With its long history, tea culture reflects the long civilized etiquette of the Chinese nation. Under the comprehensive action, various components such as catechin, cholesterolenone, caffeine, inositol, folic acid and pantothenic acid contained in tea can effectively prevent and inhibit obesity. As of 2014, my country's total tea output reached 1.95 million tons, the total planting area reached 2.74 million hm2, and the total foreign trade export volume reached 301,000 tons, which created huge economic income for our country; compared with fruit trees, the leaves of tea trees grow densely , the accuracy of scanning leaves with spectrum ...

Claims

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Application Information

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IPC IPC(8): G01N21/25G01B11/28G06T7/62
CPCG01N21/25G01B11/28G06T7/62G06T2207/10036G06T2207/30192
Inventor 吴伟斌张震邦宋倩漆海霞孙道宗赵新李泽艺刘佛良杨晓彬黄家曦陈理刘文超付正德周钊杰张增博
Owner SOUTH CHINA AGRI UNIV
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