Non-destructive testing method for plum hardness based on visible/near-infrared spectroscopy

Abstract

The invention discloses a non-destructive testing method for plum hardness based on a visible / near-infrared spectroscopy. The method comprises the following steps: collecting different varieties of fresh plum samples, and using a hyperspectral image collecting system to collect hyperspectral images of plum samples; performing a black-and-white correction on hyperspectral images, and using median filtering and mathematical morphology processing method to construct mask images to extract an average spectral reflectance of the whole fruit region of plums; using an SPXY algorithm to divide the acquired spectral data into a calibration set and a testing set, preprocessing the spectral data by Standard Normal Variate (SNV) to obtain a spectral database of a calibration and test sample set; usinga digital fruit hardness tester to measure and calibrate and test the hardness values of the plum samples in the sample set; combining the Principal Component Regression method (PCR) with stoichiometry to establish a prediction model of plum hardness. The non-destructive testing method for the plum hardness based on the visible / near-infrared spectroscopy is capable of detecting plum hardness quickly and non-destructively based on the visible / near infrared spectroscopy.

Description

technical field [0001] The invention relates to the technical field of non-destructive detection of fruit internal quality, in particular to a method for non-destructive detection of plum hardness based on visible / near-infrared spectroscopy. Background technique [0002] The plum fruit is plump, the juice is sweet, the meat is crispy and the taste is sour, it can promote the secretion of gastric acid and gastric digestive enzymes, and has the effect of promoting digestion; moreover, the plum pulp is rich in amino acids, which has the effect of diuresis and swelling, and can be used as an auxiliary treatment for liver cirrhosis effect; in addition, plum pulp contains a variety of nutrients, and regular consumption can also play a very good role in beautifying and nourishing the skin, so it is very popular among people. [0003] The hardness of plums is one of the important indicators for judging their maturity. Since plums are typical climacteric fruits, the pulp of plums is ...

AI Technical Summary

Problems solved by technology

There are related patents that use hyperspectral imaging technology to detect fruit firmness (hyperspectral-based mango firmness prediction method after impact damage, CN201710738975.8; a non-destructive test method for pear firmness, CN201410630019.4), all need to first use the characteristic wavelength The extraction method extracts the characteristic bands that can effectively predict fruit firmness, and then uses the partial least squares algorithm to establish a regression model, resulting in a relatively complicated modeling process, a long modeling cycle, and a large labor effort.

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