Agaricus blazei murill sporocarp growth parameter detection method based on image processing technology

A growth parameter and image processing technology, applied in the field of agricultural Internet of Things, which can solve problems such as inability to achieve precise processing and mild adhesion

Active Publication Date: 2019-12-24
BEIJING IEDA PROTECTED HORTICULTURE
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0009] However, in the technical solutions disclosed above, it is impossibl

Method used

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  • Agaricus blazei murill sporocarp growth parameter detection method based on image processing technology
  • Agaricus blazei murill sporocarp growth parameter detection method based on image processing technology
  • Agaricus blazei murill sporocarp growth parameter detection method based on image processing technology

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Embodiment Construction

[0128] The Agaricus blazei sporocarp growth parameter detection method based on the image processing technology of the present invention comprises the following steps:

[0129] 1. Set the background color of the experiment, and obtain the color image of the sample strain in real time, such as figure 1 As shown, the experimental environment diagram with blue background color is set for the present invention.

[0130] 2. Read the color image of the sample strain to be evaluated, and convert it to the gray space to calculate the joint distribution probability of the pixels; select some features of the gray-scale co-occurrence matrix for grain feature calculation. The features of the gray-scale co-occurrence matrix include energy, contrast, Correlation, information entropy, homogeneity, etc.; extract the characteristic parameters of the LAB color space channel A and B of the input image, and calculate the two-dimensional entropy of its local normalized color parameter (LNCC); use ...

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Abstract

The invention discloses an agaricus blazei murill sporocarp growth parameter detection method based on an image processing technology, which belongs to the technical field of agricultural internet ofthings, and can realize the continuous, intelligent and nondestructive detection of the parameters. The method comprises the following steps of (1) evaluating the imaging quality of the strains in a fruiting room; (2) positioning a sample strain area; (3) separating the strains with slight adhesion; and (4) extracting the strain growth parameters. The method is suitable for the real-time monitoring of the growth states of the strains during the industrial production process of the edible fungi, can explore the growth environment parameter configuration most suitable for the agaricus blazei murill according to the high growth rate so as to increase the yield, can divide different growth periods of the strain according to the height net value, thereby facilitating the picking and saving themanpower. Meanwhile, according to the method, the characteristic data is reserved for the color grade division of the strains at the same time, so that the method can be further popularized to the industrial production of other strains.

Description

technical field [0001] The invention relates to a method for detecting growth parameters of Agaricus blazei fruiting bodies, in particular to a method for detecting growth parameters of Agaricus blazei fruiting bodies based on image processing technology, and belongs to the technical field of the agricultural internet of things. Background technique [0002] The fruiting bodies of Agaricus blazei are crisp and tender, rich in nucleic acid, sterols, polysaccharides and other substances, and have strong edible, health care and medicinal values. However, it is delicate in nature, has only two production seasons in spring and autumn each year, and has strict requirements on the growth environment, and its survival rate is low. Therefore, it is suitable for indoor cultivation in our country. [0003] In the current protected cultivation production process, the growth status monitoring and environmental parameter configuration of Agaricus blazei fruiting bodies are mostly realize...

Claims

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Application Information

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IPC IPC(8): G06T7/155G06T7/187G06T7/194G06N3/04G06N3/08
CPCG06T7/155G06T7/194G06T7/187G06N3/08G06T2207/10024G06N3/045
Inventor 赵旭东兰昆艳黄敏敏
Owner BEIJING IEDA PROTECTED HORTICULTURE
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