High-efficiency corn ear seed test method and device based on image

A technology for corn ear and image realization, which is applied in the fields of seed and rhizome processing, application, agriculture, etc., and can solve the problems of no improvement in seed testing efficiency, large workload, and difficulty in improving work efficiency.

Active Publication Date: 2013-04-10
BEIJING RES CENT FOR INFORMATION TECH & AGRI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 1. The manual operation is cumbersome and the workload is large
[0005] 2. It is difficult to improve work efficiency, and the test process cycle is long
[0006] 3. Manual operation in the test process affects the accuracy of the test
[0007] 4. The measurement method of a single workflow is difficult to guarantee the accuracy of the obtained parameters
Due to the inherent limitations of the technology, there are certain errors in the automatic detection of indicators such as the number of rows of ears and grains
[0009] The application number is 201010226335.7, and the name is "maize seed testing device based on machine vision". By using two mirrors, the images of the three sides of the corn ear can be imaged at one time, and the ear length and ear row of the corn ear can be extracted according to the collected images. Number of grains per ear, number of grains per row and other appearance parameters have improved many disadvantages of manual seed testing, but have not improved the efficiency of seed testing

Method used

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  • High-efficiency corn ear seed test method and device based on image
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  • High-efficiency corn ear seed test method and device based on image

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Experimental program
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Embodiment 1

[0043] Embodiment 1 of the present invention provides a high-efficiency corn ear test method based on images. The high efficiency in this embodiment is reflected in the processing of N corn ears at a time during seed test operations, where N≥2, and the number of N is Determined according to the shooting range of the camera and the size of the cabinet, the maximum efficiency of the space in the cabinet can be used to achieve a better shooting effect. In this embodiment, the number of N is 5, but it is not limited to the number of N The number can only be 5. The steps of the test method are as follows figure 1 with figure 2 As shown, it specifically includes the following steps:

[0044] S1: Obtain images of 5 ears of corn placed side by side, such as image 3 shown. Then use the image processing algorithm to process the image, and calculate the morphological index and the average number of grains of 5 corn ears.

[0045] Specifically, the image processing algorithm is use...

Embodiment 2

[0077] In order to achieve the above purpose, the second embodiment of the present invention also provides a high-efficiency corn ear test device based on images. The high efficiency in this embodiment is reflected in the processing of N corn ears at a time during the seed test operation, where N≥ 2. The number of N is determined according to the shooting range of the camera and the size of the box, so as to achieve the maximum efficiency of using the space in the box and achieve a better shooting effect. In this embodiment, the number of N is 5, but It is not limited to the number of N can only be 5, such as Figure 7 As shown, the testing device includes:

[0078] Cabinet 701, camera 702, light source 703, ear weighing tray 7041, fruit ear weighing tray 7042, fruit ear weighing tray 7043, fruit ear weighing tray 7044, fruit ear weighing tray 7045, ear grain weighing tray 705, camera 702, Light source 703, fruit ear weighing tray 7041, fruit ear weighing tray 7042, fruit ear...

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Abstract

The invention discloses a high-efficiency corn ear seed test method and a device based on an image. The method comprises the following steps that an image of N corn ears placed in parallel is obtained and processed by an image processing algorithm; the shape indexes and average line number of the N corn ears are calculated; the N corn ears are threshed; cobs and grains are obtained; the cobs are weighed one by one, and the grain weight of each corn ear is calculated; a few grains are taken from any pile as samples; the average grain weight and hundred-grain weight are calculated by image processing and weighing; the average grain weight of the samples serves as the average grain weight of each corn ear; and the total grain number and the grain line number of each corn ears are calculated according to the grain weight of each corn ear. Multiple corn ears are subjected to seed test simultaneously by a digital image processing and sensor technology, and the efficiency of the corn seed test is improved greatly.

Description

technical field [0001] The invention relates to the technical field of corn ear seed testing, in particular to an image-based high-efficiency corn ear seed test method and device. Background technique [0002] Corn is an important food crop in my country's agricultural production. Corn breeding plays an important role in the fields of scientific research and production in my country's seed industry. One of the core issues in the corn seed industry is corn seed testing. Traditional seed testing methods mostly rely on Manual operation takes up a lot of human resources, and the work efficiency is low, which has become a technical bottleneck restricting the development of the corn seed industry. [0003] The main morphological parameters of maize seed testing include the number of grains per ear, the number of rows of grains per ear, the number of grains per row, and the weight of 100 kernels. The traditional method of seed testing mainly has the following technical defects: [...

Claims

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Application Information

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IPC IPC(8): A01C1/00
Inventor 赵春江郭新宇肖伯祥王传宇吴升
Owner BEIJING RES CENT FOR INFORMATION TECH & AGRI
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