Corn leaf chlorophyll content and phenotype parameter measuring method based on SVM and regression analysis

A technology for the determination of chlorophyll content and parameters, which is applied in the field of agricultural production and can solve problems such as solidity, elongation, and eccentricity differences.

Active Publication Date: 2017-01-04
INNER MONGOLIA UNIVERSITY
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Problems solved by technology

Liu Qinghai et al. analyzed the phenotypic traits of different tomato varieties in the same period and found that the tomato variety HL108 in the green fruit period had significant differences with other varieties in terms of solidity, elongation, and eccentricity.

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  • Corn leaf chlorophyll content and phenotype parameter measuring method based on SVM and regression analysis
  • Corn leaf chlorophyll content and phenotype parameter measuring method based on SVM and regression analysis
  • Corn leaf chlorophyll content and phenotype parameter measuring method based on SVM and regression analysis

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Embodiment 1

[0046] The spectral information of maize leaves was collected at the seedling stage (May 10), the ear stage (June 22), and the flower and grain stage (July 22) respectively in 2014. In a dark environment, the picked leaves were fully unfolded and fixed with the light source provided by the multispectral camera, and the leaves were imaged with a spectral camera. A total of 600 samples were collected, including 200 at the seedling stage, 200 at the ear stage, and 200 at the flower and grain stage.

[0047] In this embodiment, a multispectral camera is used to shoot images of eight wavelengths of 425nm, 475nm, 550nm, 575nm, 615nm, 675nm, 775nm, and 850nm;

[0048] Measure the relative chlorophyll content (SPAD value) of the fully expanded corn leaves from the leaf base to the leaf tip using a SPAD-502 chlorophyll meter, and the relative chlorophyll content measurement position corresponds to the above spectral data measurement position. Each measurement point was measured 3 time...

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Abstract

The invention discloses a corn leaf chlorophyll content and phenotype parameter measuring method based on SVM and regression analysis. A relationship model of multispectral information and corn leaf chlorophyll content is built, the corn leaf chlorophyll content is predicted, a distribution map of the corn leaf chlorophyll content is calculated, pseudo color processing is conducted, distribution rules of chlorophyll in the leaf growth length direction and leaf growth width direction are analyzed respectively, and it is proved that the corn leaf chlorophyll content in the seedling stage is gradually increased from leaf bases to leaf tips; the chlorophyll content in the ear period is average in the length direction; the chlorophyll content in the flowering period has an obvious peak on the upper portions of leaves, and the chlorophyll content in the leaf tips is low; in the width direction, the corn leaf chlorophyll content is basically symmetric; curvilinear regression approximating is conducted on corn leaf outlines, and results show that the corn leaf outlets accord with a secondary curve, and the corn leaf type can be expressed by a quadratic equation.

Description

technical field [0001] The invention belongs to the field of agricultural production, and in particular relates to a method for measuring chlorophyll content and phenotypic parameters of maize leaves based on SVM and regression analysis. Background technique [0002] Chlorophyll is an important pigment for photosynthesis in plants and plays an irreplaceable role in plant growth. The content of chlorophyll has a high correlation with plant biomass and crop yield. The chlorophyll content can be used to detect the growth status of crops and predict yield. The chlorophyll content is very sensitive to the nitrogen content in the soil. Monitoring the change of chlorophyll content is of great significance to guide the use of fertilizers and avoid blind investment. The distribution of chlorophyll is closely related to the nutritional status of crops. Crop water shortage, nutrient deficiency, diseases and insect pests can all affect the distribution of chlorophyll, which can be dete...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/25
CPCG01N21/25
Inventor 张志斌赵晨郭栋
Owner INNER MONGOLIA UNIVERSITY
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