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Potato anemone detection method based on machine vision and electronic nose fusion technology

A machine vision and detection method technology, applied in neural learning methods, instruments, measuring devices, etc., can solve the problems of undetermined solanine content and inability to determine whether the sample is edible or not.

Inactive Publication Date: 2018-03-02
JIANGSU UNIV
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Problems solved by technology

Compared with manual detection, this detection method improves the detection speed and further divides potatoes, but this discrimination method only divides them according to the external color characteristics of potatoes, and does not measure the content of solanin inside, and does not Not sure if the sample is edible

Method used

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  • Potato anemone detection method based on machine vision and electronic nose fusion technology
  • Potato anemone detection method based on machine vision and electronic nose fusion technology
  • Potato anemone detection method based on machine vision and electronic nose fusion technology

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[0024] (1) Collection of test samples: A total of 96 intact and green-skinned potato samples and 20 germinated samples just harvested by farmers were selected and stored in a constant temperature and humidity box. Every 4 days, select 9 normal and slightly green samples, 4 special green samples, and 3 germination samples, a total of 16 samples, clean the surface of residual soil stains, and test after the surface is dry.

[0025] (2) Image acquisition: place the sample in figure 1 On the stage (4 in the figure) in the image acquisition box (5 in the figure) shown, the distance between the sample and the CCD camera (2 in the figure) is adjusted according to the difference of the potato variety. The optimal distance is 6.5cm; when the image is taken, adjust the position of the ring light (3 in the figure). When the distance between the ring light and the sample is 5.2cm, the light irradiated on the sample is uniform and of moderate intensity, without obvious reflection spots. T...

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Abstract

The invention discloses a potato anemone detection method based on a machine vision and electronic nose fusion technology, which belongs to the technical field of nondestructive detection of agriculture products. The method comprises the following steps: acquiring a potato image by utilizing a machine vision, and extracting color and texture characteristics of a green peel and a sprouting area inthe image; then establishing a special electronic nose sensor array for determining the potato according to gas information obtained by a gas chromatograph-mass spectrograph combined instrument, optimizing a gas collection apparatus and a determination condition, collecting gas components of the potato to be detected, and extracting a stable value of a response signal as a characteristic value; and finally performing the characteristic layer fusion of the image information and electronic nose information, establishing a correspondence model of the anemone content, thereby realizing the rapid and effective nondestructive detection for the anemone content in the storage process of the potato. According to the method, the anemone content in the storage process of the potato is predicted on the basis of the electronic nose and machine vision fusion technology, the method is not reported at present, and the positive research for applying the nondestructive detection technology in the safetyindex detection of agricultural products is facilitated.

Description

technical field [0001] The invention relates to a method for detecting potato solanine based on machine vision and electronic nose fusion technology, and belongs to the technical field of non-destructive detection of agricultural products. Background technique [0002] Potatoes are rich in carbohydrates, proteins, minerals (phosphorus, calcium, etc.), and vitamins and other nutrients. It is the fourth largest food crop in the world, and it is also an important vegetable and economic crop in the world, and its cultivation range is all over the world. At present, my country's potato planting area and total output both rank first in the world. With the expansion of potato production and consumption, the food safety of potatoes and their products has attracted more and more attention. During the storage and transportation of potatoes, the content of solanine (the main components are α-solanine and α-chaconine) in the green skin and germinated individuals increased sharply. Sol...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/84G01N33/00G01N30/02G01N30/06G06N3/04G06N3/08G06T7/194G06T7/13G06T7/90
CPCG06N3/08G06T7/13G06T7/194G06T7/90G01N21/84G01N30/02G01N30/06G01N33/0031G01N2030/062G01N2021/8466G06N3/045
Inventor 黄星奕孙兆燕任晓锋田潇瑜
Owner JIANGSU UNIV
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