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Machine vision based soybean seed selection method

A machine vision and soybean technology, applied in sorting and other directions, can solve the problem of low selection accuracy and achieve the effect of improving selection accuracy

Inactive Publication Date: 2014-04-30
NORTHEAST AGRICULTURAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention aims to solve the problem of low selection accuracy of the traditional soybean selection method, and then provides a machine vision-based soybean grain selection method

Method used

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  • Machine vision based soybean seed selection method
  • Machine vision based soybean seed selection method
  • Machine vision based soybean seed selection method

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Experimental program
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specific Embodiment approach 1

[0025] Specific implementation mode one: the following combination figure 1 , figure 2 and image 3 Describe this embodiment, the method for selecting soybean grains based on machine vision described in this embodiment, the method is realized based on the following device, which includes: a frequency converter 9, an asynchronous motor 10, a seed injector 11, a photoelectric Sensor 1, single-chip microcomputer 2, smart camera 3, stepper motor controller 4, stepper motor 5, conveyor belt 6, dark box 7, first blower a, second blower b, first air pump and second air pump;

[0026] The frequency converter 9 is connected to a three-phase power supply, and the power signal output terminal of the frequency converter 9 is connected to the power signal input terminal of the asynchronous motor 10; the asynchronous motor 10 drives the seed injector 11 to work;

[0027] The seed outlet 8 of the seed injector 11 is positioned above the conveyer belt 6, and the conveyer belt 6 is horizont...

specific Embodiment approach 2

[0037] Embodiment 2: In this embodiment, the method for selecting soybean grains based on machine vision described in Embodiment 1 is further limited. In this embodiment, the model of the smart camera 3 is VC2065 / E.

[0038] In this embodiment, the smart camera 3 can work independently without a PC, and contains a programmable high-performance DSP inside, and integrates an RS-232 hardware interface with a single-chip microcomputer for serial data transmission.

specific Embodiment approach 3

[0039] Embodiment 3: In this embodiment, the method for sorting soybean grains based on machine vision described in Embodiment 1 is further limited. In this embodiment, the conveying speed of the conveyor belt 6 is 40 cm / s.

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Abstract

A machine vision based soybean seed selection method relates to the field of agricultural automation and aims to solve the problem of low selection accuracy of a traditional soybean selection method. According to the machine vision based soybean seed selection method, normal soybean seeds, mould soybean seeds, gray soybean seeds and soybean seeds with injured kernels are classified, so that the soybean seed selection accuracy is effectively increased by 20%, the soybean seeds are classified without damage, and the appearances of the soybean seeds can not be destroyed. The machine vision based soybean seed selection method is suitable for the field of agricultural automation.

Description

technical field [0001] The invention relates to the field of agricultural automation. Background technique [0002] Soybean is the main economic crop in my country, and the Northeast China is the main soybean producing area in my country. In recent years, driven by the implementation of the soybean revitalization plan by the Ministry of Agriculture, the planting area of ​​soybean in our province has increased sharply year by year. At the same time, the quality standards for soybean selection, export and processing are becoming more and more stringent. At present, the soybean seed selection and selection methods on the market mostly use mechanical principles such as vibration, centrifugation, and friction. However, the equipment designed for this method is bulky, heavy and low in precision, and is generally used for pre-sorting to remove impurities. [0003] The detection of defects, color, saturation and other information on the surface of agricultural products can be used ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B07C5/342
Inventor 房俊龙赵朝阳李明周蔷王润涛
Owner NORTHEAST AGRICULTURAL UNIVERSITY
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