Navel orange sugar degree detection method based on hyper-spectral imaging technology

Abstract

The invention relates to a navel orange sugar degree detection method based on a hyper-spectral imaging technology. The navel orange sugar degree detection method based on the hyper-spectral imaging technology comprises the following steps: collecting spectra of a navel orange through a hyper-spectral imaging system, and performing black-white calibration to eliminate the noise influence; measuring the sugar degree of the navel orange through a digital refractometer; establishing a relationship between the spectra and the sugar degree so as to facilitate subsequent measurement of the sugar degree and nondestructive detection of the sugar degree of the navel orange. Compared with a conventional detection method, the navel orange sugar degree detection method based on the hyper-spectral imaging technology is high in detection speed, easy and convenient to operate and harmless to fruits. Compared with a near infrared spectrum detection method, the navel orange sugar degree detection method based on the hyper-spectral imaging technology has the advantages that more information is obtained and a detection result is more accurate and stable.

Description

technical field [0001] The invention designs a method for detecting the sugar content of fruits, specifically a method for detecting the sugar content of navel oranges based on hyperspectral imaging technology. Background technique [0002] Judgment and detection of fruit quality has always been one of the important topics in the research of agricultural products. With the improvement of people's quality of life, consumers pay great attention to internal qualities such as taste, sugar content, acidity and vitamin content, in addition to external qualities such as size, color, and appearance, when purchasing fruits. The sweetness of fruit is related to its sugar content. As one of the important factors determining the internal quality of fruit, sugar content has always been concerned by people. Therefore, it is an important prerequisite for fruit grading to develop a rapid, real-time, non-invasive method for detecting sugar content in fruits. [0003] The traditional sugar...

AI Technical Summary

Problems solved by technology

[0003] The traditional sugar content detection method is to directly measure the fruit juice sampling through a hand-held sugar content meter, which has the disadvantages of time-consuming, low efficiency, destructive, and prone to operational errors.

However, near-infrared spectroscopy diagnostic technology has some disadvantages, such as: a large number of representative samples with known chemical values ​​are required to build models; modeling costs are high, and testing costs are high

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