On-corncob corn niblet counting method

A counting method and technology of corn kernels, applied in counting objects, counting mechanisms/items, counting of randomly distributed items, etc., can solve problems such as difficulty in popularization and implementation and expensive equipment.

Inactive Publication Date: 2012-10-24
CHINA AGRI UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] For the counting of corn grains, manual counting is still the main method at present. Although automatic counting schemes h

Method used

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  • On-corncob corn niblet counting method
  • On-corncob corn niblet counting method
  • On-corncob corn niblet counting method

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Embodiment Construction

[0081] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0082] figure 1 It is a structural schematic diagram of the ear counting system for corn kernels described in the embodiments of the present invention, such as figure 1 As shown, the system mainly includes: a computer, a data acquisition and control unit 201, a corn ear rotation unit and an image acquisition unit. The computer includes: a monitor 101 and an industrial computer 102 connected to each other. The data collection and control unit 201 is connected to the industrial computer 102 . The ear of corn rotation unit includes: a 24V DC single source module 301 , a stepper motor driver 302 and a stepper motor 303 . The stepper motor driver 302 is connected to the dat...

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Abstract

The invention discloses an on-corncob corn niblet counting method and relates to the field of machine vision. The method comprises the steps of A, collecting a current gray level image of a corn panicle and processing the current gray level image to obtain a first processing area; B, finding a starting point of niblet row extraction in a first processing area; C, extracting a first corn niblet row in the first processing area according to the starting point; D, rotating the corn panicle and extracting a next corn niblet row; E, judging whether the current corn niblet row is the same with the first corn niblet row, if the current corn niblet row is the same with the first corn niblet row, eliminating the current corn niblet row and performing the step F; otherwise, performing the step D; and F, measuring the number of the corn niblets of all corn niblet rows sequentially to obtain a total number of all the corn niblets of the corn panicle. According to the method, a counting device with the high cost is not required, the implementation cost is low, the number of the the niblets of the corn panicle can be measured rapidly, accurately and stably, the detection method has the advantages of being flexible, good in timeliness and accuracy and the like.

Description

technical field [0001] The invention relates to the technical field of machine vision, in particular to a method for counting corn kernels in ears. Background technique [0002] Corn is a widely grown crop, and it is usually necessary to estimate its yield by sampling before harvesting. The number of kernels per ear and the weight of 100 kernels are important parameters for estimating the yield of corn. To obtain these parameters, it is necessary to count the number of corn kernels. In addition, in agricultural research such as corn breeding, cultivation, new variety testing, and quality evaluation, it is often necessary to count corn kernels or measure corn ear trait parameters (such as the number of ear rows, ear grains, etc.). The traditional method of counting corn grains is to thresh the corn ears, and then carry out manual visual inspection of the number of kernels, and also use manual visual inspection to measure the parameters of corn ear traits. This method is ine...

Claims

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Application Information

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IPC IPC(8): G06M11/00G06K9/60
Inventor 陈兵旗刘长青
Owner CHINA AGRI UNIV
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