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A method for non-destructive identification of rice mildew fungal colonies

A technology of fungi and colonies, applied in character and pattern recognition, measuring devices, material analysis by optical means, etc.

Inactive Publication Date: 2018-07-27
NANJING AGRICULTURAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the use of visual technology to identify and classify rice fungal colonies has not been reported at home and abroad.

Method used

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  • A method for non-destructive identification of rice mildew fungal colonies
  • A method for non-destructive identification of rice mildew fungal colonies
  • A method for non-destructive identification of rice mildew fungal colonies

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Experimental program
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Embodiment Construction

[0032] A method for identifying fungal colonies in moldy rice based on computer vision technology, the specific implementation is as follows:

[0033] 1. Test material

[0034] Through the investigation of the types of mildew fungi during rice storage, it is found that the main fungi that cause mildew are Aspergillus and Penicillium, of which Aspergillus niger, Aspergillus oryzae, Aspergillus versicolor, Aspergillus nidulans and Penicillium citrinum are the most common. Therefore, the above five common fungi were selected as the test objects. Five species of fungi were purchased from Guangdong Microbial Culture Collection Center. Since the bacteria are stored in the form of freeze-dried powder, in order to ensure the activity of the bacteria, they need to be activated before they can be used.

[0035] The activated fungi were cultured, wherein 250 samples were cultured for each fungus, a total of 1250 samples. 200 of them are used for modeling and 50 for validation. The st...

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Abstract

The invention relates to a method for non-destructive identification and differentiation of rice mildew fungal colonies based on computer vision technology, which belongs to a new type of fungal identification technology. The image of the fungal colony is obtained by means of a computer vision device, and after processing the image of the fungal colony, image parameters are extracted, and feature parameters are optimized. Using pattern recognition technology to analyze the characteristics of different fungal colonies, and finally achieve the identification and differentiation of fungi. The method can realize accurate identification of fungal species, and is faster, more accurate and more convenient than traditional manual morphological identification and biological identification. This method not only provides a new method for fungal identification, but also has great significance for the prevention and control of rice mildew.

Description

technical field [0001] The invention relates to a computer vision technology for identifying common fungal colonies in moldy rice, and belongs to the technical field of non-destructive detection of agricultural product storage and processing. Background technique [0002] After the paddy is harvested, after cleaning and drying, it usually needs to be stored. Storage is one of the important links to ensure the safety of paddy. During the storage of rice, it is often mildewed due to contamination by microorganisms. Microbial hazards during rice storage often occur in some areas of our country. Because rice is rich in carbohydrates, proteins, vitamins, fats and minerals, it provides a good natural medium for microorganisms. Moreover, rice may be contaminated by microorganisms during the process of planting, harvesting, drying, transportation, and storage. Most of the microbial flora that constitutes rice belongs to mold. When the storage conditions of rice are improper or the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/84G06K9/46G06K9/62
CPCG01N21/84G06V10/44G06V10/56G06F18/2411
Inventor 潘磊庆王振杰屠康孙柯孙晔顾欣哲
Owner NANJING AGRICULTURAL UNIVERSITY