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Seed quality detection method and device based on structure hyperspectrum

A technology for seed quality and detection device, which is applied in measurement device, optical device, color/spectral characteristic measurement, etc., can solve the problems of low detection accuracy of seed phenotype parameters and vitality index, etc.

Pending Publication Date: 2020-08-25
NANJING AGRICULTURAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the shortcomings of low detection accuracy of existing seed phenotypic parameters and vigor index, the present invention proposes a method and device for detecting seed quality based on structural hyperspectral

Method used

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  • Seed quality detection method and device based on structure hyperspectrum
  • Seed quality detection method and device based on structure hyperspectrum
  • Seed quality detection method and device based on structure hyperspectrum

Examples

Experimental program
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Effect test

Embodiment 1

[0059] Such as figure 1 As shown, a seed quality detection device based on structural hyperspectral is characterized in that it consists of a mechanical arm base (1), a mechanical arm (2), a vacuum seed suction module (3), a structured light projection module (4), White light source (5), optical fiber (6), hyperspectral camera (7), computer (8), signal line (9), and seeds (10), wherein the mechanical arm (2) is composed of a mechanical arm lifting platform (21) , mechanical arm (22), mechanical arm forearm (23), mechanical arm connecting flange (24), arm connecting shaft (25), and the bottom of the mechanical arm lifting platform (21) is fixed on the mechanical arm base On the seat (1), the sliding end of the mechanical arm lifting platform (21) is fixed to one end of the mechanical arm (22), and the other end of the mechanical arm (22) is connected to the end of the mechanical arm (23) through the arm shaft. (25) Sliding connection, the other end of the small arm of the mech...

Embodiment 2

[0061] A seed quality detection device based on structural hyperspectral, the vacuum seed suction module (3), is characterized in that: a flange connector (31), a vacuum tube adapter (32), an air suction hollow needle (33) , a vacuum generator (34) and a flexible air pipe (35), wherein the output end of the vacuum generator (34) is connected to one end of the flexible air pipe (35), and the other end of the flexible air pipe (35) is connected to the One end of the flange connector (31), the other end of the flange connector (31) is connected with one end of the air-suction hollow needle (33), the other end of the air-suction hollow needle (33) can absorb seeds (10), and the flange connector (31) (31), air-suction hollow needle (33), vacuum tube adapter (32), and soft air tube (35) are all vacuum structures, and form internal hollow connected body together, can adsorb seeds (10).

Embodiment 3

[0063] Such as figure 2 Shown, a kind of seed quality detection method based on structural hyperspectrum is characterized in that, comprises the following steps:

[0064] Step 1: Calibration of the seed quality detection device based on structural hyperspectral;

[0065] Step 2: Acquisition of seed three-dimensional phenotype information;

[0066] Step 3: Acquisition of seed characteristic spectral information and two-dimensional texture information;

[0067] Step 4: Modeling of seed vigor prediction model based on support vector regression (SVR).

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Abstract

The invention provides a seed quality detection method and device based on structure hyperspectrum. The device is composed of a mechanical arm base, a mechanical arm, a vacuum seed suction module, a structured light projection module, a white light source, an optical fiber, a hyperspectral camera, a computer, a signal line and seeds. The seed quality detection method based on structure hyperspectrum comprises the following steps: calibrating a seed quality detection device based on structure hyperspectrum, acquiring seed three-dimensional phenotypic information, acquiring seed characteristic spectrum information and two-dimensional texture information, and modeling a seed vigor prediction model based on support vector regression (SVR). A structured light three-dimensional imaging technology is adopted, three-dimensional size information such as the length, the width and the volume of the seeds can be accurately measured, hyperspectral information of the seeds at different depths can bedetected through a structured light modulation technology, the information dimension is expanded, and the detection precision of the seed vigor index is improved.

Description

technical field [0001] The invention belongs to the technical field of automatic detection of seed quality, in particular to a method and device for detecting quality of seeds based on structural hyperspectral, and belongs to the field of agricultural engineering. Background technique [0002] Crop production is an important indicator to ensure food security and the cornerstone of national security. The quality of seeds determines the yield of grain to a large extent. Seed phenotype detection is an important factor to increase crop yield. Seed quality detection is of great significance. The standards for measuring seed quality mainly include germination rate, seed clarity, purity, vitality, damage cracks, etc. Among them, the physical size and vigor index of seeds are directly related to the yield and quality of crops. [0003] The traditional phenotype detection of physical size of seeds measures the diameter and length of seeds by extracting two-dimensional images taken ...

Claims

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Application Information

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IPC IPC(8): G01N21/31G01B11/02G01B11/00G06T7/80
CPCG01B11/00G01B11/02G01N21/31G06T7/80G06T2207/30208
Inventor 卢伟蔡苗苗张壹峰
Owner NANJING AGRICULTURAL UNIVERSITY
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