Sugar degree detection method and system

A detection method and sugar content technology, applied in the field of sugar content detection methods and systems, can solve problems such as time-consuming, labor-intensive and efficient, and achieve the effects of improving calculation speed, improving accuracy, and reducing algorithm complexity

Pending Publication Date: 2022-02-08
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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AI Technical Summary

Benefits of technology

The present in this patented technology allows us to quickly identify sugars (or fats), making it easier than current techniques like colorimetric determination. It uses specific characteristics called correlated filters and gene expressions to predict how much sugar can appear during inspections. By comparing these predictions against predetermined reference values, we aim to optimize the process parameters used for estimating sweetness levels. This results in more accurate estimates of sucrose contents compared to existing approaches. Overall, our technical effect includes faster and better identification of sugar sources, increased precision in calculating sugar content profiles, enhanced sensitivity towards sugar concentration estimation, reduced computational time required for optimization procedures, efficient utilization of resources, and overall improvement of sugar content detection performance.

Problems solved by technology

This patented method involves invasively testing for sugars on apple trees by collecting samples from them through various means like scrapings or brushes that remove excess sugar during harvesting process. These tests can be done quickly but they may also cause damage if used repeatedly over multiple times. Therefore this approach has limitations because it requires significant effort and resources.

Method used

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  • Sugar degree detection method and system

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Embodiment 1

[0114] Embodiment 1: A kind of apple brix detection method

[0115] An apple brix detection method proposed in this embodiment includes a data processing method for preprocessing collected data to obtain characteristic wavelength points and a method for estimating apple brix according to the absorbance of the multiple characteristic wavelength points. Sugar content detection model; the collected data is the near-infrared diffuse reflectance spectrum at the marked points on the surface of the apple.

[0116] In this embodiment, 285 apples with no damage or defect on the surface are selected as samples for training and testing of the sugar content detection model. That is, the sample space n=285. In this embodiment, the sugar content of 285 apples in the sample space is a known value.

[0117] Specifically, the sugar content of an apple can be measured by the following method: take a piece of pulp with a diameter of about 3cm in the area marked on the apple, squeeze out 2-3 drops

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Abstract

A sugar degree detection method and system are provided. The method comprises: screening a test wavelength point, extracting absorbance at the test wavelength point from spectral data at a mark point of a test object as input data, inputting the input data into a set sugar degree detection model, and obtaining output data of the sugar degree detection model as the predicted sugar degree of the test object. According to the sugar degree detection method provided by the invention, the characteristic wavelength points are firstly selected, and the wavelength points which play a significant and decisive role in apple sugar degree detection are selected in a targeted and targeted manner, so that the apple sugar degree is accurately estimated according to spectral data corresponding to few and precise wavelength points, and the precision of a sugar degree prediction model is improved.

Description

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Claims

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Application Information

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Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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