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On-line detection method of mildew corn, based on spectrum and image information fusion

A technology of image information and detection methods, applied in image enhancement, image analysis, image data processing, etc., can solve the problems that affect the detection accuracy, cannot accurately detect internal damage, slight disease infection, noise interference, etc.

Active Publication Date: 2018-10-16
NANJING UNIV OF FINANCE & ECONOMICS
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  • Claims
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Problems solved by technology

[0006] Near-infrared spectroscopy is a quantitative measurement based on the absorption characteristics of the sample components on the near-infrared spectrum. However, the near-infrared spectroscopy cannot obtain the external information of the measured sample, which may cause large errors and is easily affected by external light, humidity, etc. Cause noise interference and affect detection accuracy
Image processing detection technology can only identify mildew by extracting external parameters such as color, texture, and shape, and cannot accurately detect internal defects such as internal damage and minor disease infection

Method used

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  • On-line detection method of mildew corn, based on spectrum and image information fusion
  • On-line detection method of mildew corn, based on spectrum and image information fusion
  • On-line detection method of mildew corn, based on spectrum and image information fusion

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Embodiment Construction

[0071] Below in conjunction with accompanying drawing of description, the present invention will be further described.

[0072] 1. Sample preparation: 135 corn samples were irradiated and sterilized under cobalt-60 (12kGy).

[0073] 2. Sample inoculation with harmful molds: place Fusarium 195647, Aspergillus parasitica 3.395, and Aspergillus niger 186380 on the potato dextrose agar (PDA) medium, cultivate them for ten days at 28°C and 85% RH, and rinse with sterile water On the surface of the culture medium, prepare a spore suspension and dilute it to about 1.0×10 5 CFU / mL, sprayed on corn samples, inoculated 45 corn samples with each bacterial solution, and stored the samples in an artificial climate chamber at 28°C and 85% RH for 15 days. The time nodes 0, 6, 9, 12, and 15 days were selected, and 9 corn samples infected by 3 kinds of molds were randomly selected every day for analysis.

[0074] 3. Measurement of sample spectrum: turn on the computer and the Zeiss MCS 600 n...

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Abstract

The invention discloses an on-line detection method of a mildew corn, based on spectrum and image information fusion, and relates to the technical field of corn colony total count detection. The method comprises the following steps: performing irradiation sterilization on a corn sample; inoculating harmful mildew to the corn sample and storing the corn sample; performing on-line collection on cornsample spectrum and image information; measuring the total number of corn colony; performing rapid determination, outputting actual content of molds through an established model and spectrum and image fusion information of a corn to be detected, so as to judge corn mildew state. The method is convenient for detection, does not need to perform traditional counting on mildew in the corn, and only need to collect characteristic spectrum information and image parameter information of corn mildew pollution through a near infrared spectrum and image technology. The method does not damage the sample, is energy-saving and environmentally friendly, does not need to prepare chemical reagents, does not produce toxic waste liquor, and reduces harm to human body and the environment. The method is lowin detection cost, and does not need to buy expensive chemical reagents and various analysis instruments.

Description

technical field [0001] The invention relates to a detection method for the total number of corn colonies, in particular to an online detection method for mildewed corn based on the fusion of spectrum and image information to realize a rapid online detection method for the amount of corn bacteria. Background technique [0002] Corn is one of the three major grain varieties, and its planting area ranks third after wheat and rice. my country is a big country in the production and consumption of corn. In addition to food, corn is also used as feed and industrial raw materials. However, due to the characteristics of corn itself: high original moisture content, uneven maturity, large embryo, strong hygroscopicity, high fat content, easy rancidity, large total number of mold colonies and easy mildew, etc., making corn not resistant to storage, and in the Mildew and breakage are prone to occur during storage. In addition, mildewed corn is accompanied by the production of mycotoxin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359G01N21/47G01N21/88G06T7/90
CPCG01N21/359G01N21/4738G01N21/8851G01N2021/8887G06T2207/30188G06T7/90
Inventor 沈飞黄怡方勇李彭裴斐邢常瑞袁建鞠兴荣
Owner NANJING UNIV OF FINANCE & ECONOMICS
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