Fruit internal quality on-line checking method and apparatus based on near infrared spectra technology

Abstract

The invention relates to a fruit internal quality on-line detection method and an apparatus thereof. The detection method comprises: implementing the spectral scanning to the fruit to be detected and collecting a near infrared spectrum of the fruit to be detected; and putting acquired spectrum signals into a pre-established model and getting the internal quality index of the fruit to be detected. The detection apparatus includes a spectrum collection device and a computer; wherein, the spectrum collection device is used in spectral scanning to the fruit to be detected and collection of near infrared spectrum signals of the fruit to be detected so as to transmit the signals to the computer; and the computer is used for putting the received spectrum signals into the pre-established model for data analysis so as to obtain the internal quality index of the fruit to be detected. The method applies the optical detection means based on near infrared to the detection process of fruit internal quality, and can release the labor force, and the method also has advantages of high detection precision, good consistency of results and high degree of automation, and creates the conditions for the standardized classification of internal quality of fruit products.

Description

Technical field [0001] The invention relates to a detection method for the internal quality of fruits, in particular to an online detection method and a device for the internal quality of fruits based on near-infrared spectroscopy. Background technique [0002] my country is a big fruit producing country in the world, rich in varieties and resources, and its output has ranked first in the world in recent years. However, compared with developed countries in the international market, there is still a certain gap in both the export volume of fruit and the depth of fruit processing. The main reason is that the degree of fruit commercialization is not high and the internal quality is uneven. For example, there are big differences in the taste and flavor of the same batch of fruits, and their hardness, solid content, sugar-acid ratio and other indicators are not controlled within the standard. Therefore, it is necessary to quantify the internal quality indicators of fruits to cre...

AI Technical Summary

Problems solved by technology

In the current research, the detection of fruit internal quality is mainly static, and this method cannot meet the online detection requirements of fruit internal quality

The online detection of fruit internal quality based on near-infrared has a reliable theoretical basis, but this technology is only at the stage of laboratory research

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