Fruit sugar degree nondestructive testing device and method based on silicon-based multispectral chip

Abstract

The invention discloses a fruit sugar degree nondestructive detection device and method based on a silicon-based multispectral chip, and relates to the technical field of apple sugar degree nondestructive testing. A fruit bracket is arranged above the detection device; a fruit sample to be detected can be placed; a light source, a multispectral camera adopting a silicon-based multispectral chip and a detection module are arranged in the detection device; the multispectral camera is connected with the detection module and forms an included angle with the light source, the multispectral camera collects scattered multispectral image data of the fruit sample to be detected and inputs the scattered multispectral image data into the detection module, and the detection module detects the sugar degree of the fruit sample to be detected according to the received multispectral image data. The adopted silicon-based multispectral chip is made of silicon-based wafers and has the advantages of smallsize, light weight, simple structure, low cost and the like, and the sugar degree detection device is more convenient to operate and higher in detection speed. According to the fruit sugar degree detection method, the sugar degree of the fruit can be graded relatively reliably without a complex mathematical model and long-time operation.

Description

technical field [0001] The invention relates to the technical field of non-destructive detection of sugar content of apples, in particular to a device and method for non-destructive detection of sugar content of fruit based on a silicon-based multispectral chip. Background technique [0002] my country is the world's largest fruit tree planting country, and the output of many varieties of fruits ranks among the top in the world. With the improvement of my country's fruit consumption level, people have higher and higher requirements for fresh fruit quality, not only requiring the fruit to look good, but also requiring internal quality, of which the sugar content is an important indicator for judging the internal quality. The detection of fruit sugar content is divided into two methods: internal detection and external detection. Among them, the internal detection mainly relies on chemical analysis and uses destructive methods for detection. This method is more accurate, but ti...

AI Technical Summary

Problems solved by technology

Among these detection methods and devices, the core instruments are traditional spectrometers, which lead to the large size and high cost of the test system. In addition, due to the large number of samples required for modeling, the detection speed is slow and the test sample range is narrow. It is not easy to be widely promoted.

[0004] In recent years, the detection method of multispectral image / hyperspectral image has also been applied in the detection of fruit sugar content: Chinese patent document CN105158178B based on hyperspectral transmission technology spectral peak area detection rapid modeling method of navel orange sugar content, Chinese patent document CN103472031A A navel orange sugar detection method based on hyperspectral imaging technology, Chinese patent document CN101832941A, a fruit quality evaluation device based on multispectral images, where the so-called hyperspectral image technology is still completed by combining a spectrometer with a CCD or a hyperspectral imager , the instrument process is complicated, and the disadvantage of high cost cannot be avoided. The multi-spectral image technology is completed by using a CCD camera with a spectral range including visible and infrared bands and a roulette lens with a narrow-band filter. The spectral information is limited by the hardware. , and this detection instrument is not convenient enough to operate

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