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Fruit near infrared spectrum sorting method based on fuzzy clustering

A near-infrared spectrum and classification method technology, applied in the field of fruit internal quality classification, can solve the problems of complicated methods, difficult to determine parameters, time-consuming and other problems, and achieve the effects of high classification efficiency, high classification accuracy and fast detection speed

Inactive Publication Date: 2013-04-17
JIANGSU UNIV
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AI Technical Summary

Problems solved by technology

However, the support vector machine method has problems such as complicated method, time-consuming, difficult to determine parameters, etc.

Method used

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  • Fruit near infrared spectrum sorting method based on fuzzy clustering
  • Fruit near infrared spectrum sorting method based on fuzzy clustering
  • Fruit near infrared spectrum sorting method based on fuzzy clustering

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Embodiment

[0045] The fuzzy clustering-based near-infrared spectrum classification method for fruits of the present invention can also be applied to various fruits, such as apples, pears, peaches and the like. These fruits only have certain differences in internal components such as sugar content, acidity and soluble solids, so the present invention can be applicable to these fruits. This embodiment only uses apples as an example to illustrate, and is applicable to the quality classification of apples of the same variety. For example, red Fuji apples are divided into several quality grades, because apples of the same variety with different qualities have different diffuse reflection near-infrared spectra. So the present invention can be realized. This implementation is also applicable to the distinction of different varieties of apples, for example, the classification of apples such as Red Fuji, Huaniu, Red Delicious, and Gala. Because different varieties of apples have different diffus...

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Abstract

The invention discloses a fruit near infrared spectrum sorting method based on fuzzy clustering. The fruit near infrared spectrum sorting method based on the fuzzy clustering comprises the steps of carrying out dimension reduction processing of characteristic sequencing on a near infrared spectrum of a fruit sample, and extracting identification information of the near infrared spectrum data processed by the dimensionality reduction with a characteristic extraction method, and sorting the quality of the fruits by a rapid fuzzy clustering method. The fruit near infrared spectrum sorting method has the advantages of high detection speed, high sorting accuracy, high sorting efficiency, no damages on fruits, and the like, and can realize the assortment of one kind of fruits with different inner quality and the assortment of different kinds of fruits in the same category.

Description

technical field [0001] The invention relates to a fruit classification method, in particular to a fruit internal quality classification method based on fuzzy clustering method and near-infrared spectroscopy technology. Background technique [0002] Fruit classification is a key link in fruit commercialization after harvesting, and the core of classification is the detection of fruit quality. The internal quality inspection of fruit is mainly to detect the sugar content, acidity and soluble solids inside the fruit. The internal quality of fruit is affected by the variety, place of origin, cultivation conditions and climate of the fruit. [0003] Near-infrared spectroscopy is a non-destructive detection technique that uses the properties of light absorption, scattering, reflection, and transmission of substances to determine their composition. Near-infrared spectroscopy has the advantages of non-destructive detection, fast detection speed, and simultaneous detection of multi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/25
Inventor 武小红孙俊武斌
Owner JIANGSU UNIV
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