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Wheatear germination degree detection method

A detection method and technology for wheat, applied in the fields of crop breeding and image recognition, can solve the problem of not realizing the quantitative detection of the germination degree of wheat ears, etc., and achieve the effect of non-destructive measurement

Active Publication Date: 2013-03-06
BEIJING RES CENT FOR INFORMATION TECH & AGRI
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AI Technical Summary

Problems solved by technology

[0006] However, the traditional wheat ear germination degree detection method, regarding the budding and valley detection method based on machine vision, can only realize the qualitative judgment of identifying healthy seeds and buds and valley seeds; the seed germination detection method based on soft X-ray technology is also an The feature information of the image, the use of statistical and neural network classifiers to identify seeds, has not yet realized the quantitative detection of the degree of germination of wheat ears

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Embodiment 1

[0038] The invention proposes a detection method for the degree of germination of wheat ears. The principle of the detection method is: the germinated grain of wheat is composed of a seed body, a germ and a radicle. The appearance of the germinated grains of wheat ears will change, such as the increase in volume during early imbibition, the rupture of embryos when they are exposed, and the growth of radicle germs. These morphological indicators reflect the degree of ear germination. Using machine vision to obtain images of germinated wheat grains, and obtaining the above morphological parameters through image processing technology, it is possible to determine whether wheat ears germinate and the degree of wheat ear germination. Such as figure 1 The flow chart of the wheat ear germination degree detection method based on machine vision that the present invention proposes, described method comprises steps:

[0039] S1: collecting images of germinated wheat grains;

[0040] Th...

Embodiment 2

[0061] The present embodiment illustrates the implementation of the machine vision-based wheat ear germination degree detection method for the present invention in combination with examples, specifically:

[0062] Harvest of wheat grains. The wheat varieties used in the experiment were Jingdong 8, Jing 411, Zhongmai 175, Nongda 211, Zhongmai 16, Jingdong 13, Nongda 3432, and Nongda 3291. The specific method is to retrieve ten wheat ears of each variety from the field and thresh them, and undergo pretreatments such as winnowing and impurity removal to obtain wheat grains. In order to obtain seeds with different germination degrees, a seed germination experiment was carried out. The specific method was to repeatedly rinse the wheat seeds with tap water, put them into 5% sodium hypochlorite solution for disinfection for 5 minutes, and then rinse them repeatedly with distilled water, and then the groin was downward. Put it into a petri dish covered with two layers of filter paper...

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Abstract

The present invention provides a wheatear germination degree detection method, which comprises: S1, acquiring an image of wheat germination kernal; S2, according to the image, determining whether the wheat germination kernel turns into white, and acquiring a plumule image of the wheat germination kernel; and S3, according to the plumule image of the wheat germination kernel, calculating a plumule length, and determining a level of the wheatear germination degree according to whether the wheat germination kernel turns into white and the plumule length of the wheat germination kernel. According to the present invention, the wheatear germination degree is detected, such that rapid and non-destructive measurement can be achieved; various stage fine division is performed on the whole germination process, such that the turning-into-white state at the early germination stage can be determined, and the specific length of the wheat plumule at the germination middle-later stage can be obtained so as to grade the wheatear germination degree, and establish a method basis for rapid and automated quantitative detection of the wheatear germination degree.

Description

technical field [0001] The invention relates to the technical fields of crop breeding and image recognition, in particular to a method for detecting germination degree of wheat ears. Background technique [0002] Wheat ear germination refers to the phenomenon that wheat germinates on wheat ears in rainy weather during the harvest period. Wheat ear germination is a worldwide problem, mainly distributed in areas prone to rainfall during the harvest period, and is a serious natural disaster. . The germination of wheat ears will not only reduce the yield of wheat, but also a series of physiological changes caused by wheat ear germination will seriously affect the quality of wheat and affect the economic interests of enterprises and farmers. Therefore, the detection of wheat ear germination is of great significance. Wheat ear germination is related to various factors such as glume shape, awn length, seed coat color, kernel size, and α-amylase content. [0003] At present, ther...

Claims

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Application Information

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IPC IPC(8): A01C1/02
Inventor 赵春江朱大洲陈立平于春花王晓冬路文超
Owner BEIJING RES CENT FOR INFORMATION TECH & AGRI
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