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
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[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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