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Nondestructive testing method for Fushi apple quality based on near infrared spectrum

A near-infrared spectrum and non-destructive testing technology, which is applied in the field of spectral analysis and detection of agricultural products, can solve the problems of consumption, large manpower, destruction, etc., and achieve the effects of high detection accuracy, easy control and simple operation methods

Inactive Publication Date: 2017-08-18
LANZHOU UNIVERSITY
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Problems solved by technology

Chemical analysis methods have high accuracy and reliability, but this type of method is destructive detection, which consumes a lot of manpower and takes a long time to detect

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  • Nondestructive testing method for Fushi apple quality based on near infrared spectrum
  • Nondestructive testing method for Fushi apple quality based on near infrared spectrum
  • Nondestructive testing method for Fushi apple quality based on near infrared spectrum

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Embodiment Construction

[0020] The technical solutions of the present invention will be described in detail below, but the protection scope of the present invention is not limited to the embodiments. The methods are conventional methods unless otherwise specified. The raw materials can be obtained from public commercial sources unless otherwise specified. The data processing of each step in the following examples is programmed and processed by the scientific computing software MATLABR2014b sold by MathWorks, USA. The acquisition of spectral data is obtained and converted into spectral data in .txt format by the software OceanView sold by Ocean Optics, USA.

[0021] A non-destructive detection method for the quality of Fuji apples based on near-infrared spectroscopy, which is a method for non-destructive detection of the sugar content and acidity quality of Fuji apples using near-infrared spectroscopy; the implementation process of the method is as follows figure 1 As shown, the specific implementati...

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Abstract

The invention discloses a nondestructive testing method for Fushi apple quality based on a near infrared spectrum. The method comprises the following steps: 1) selecting a batch of intact Fushi apples as experiment samples; 2) collecting a near infrared spectrum of the apples; 3) utilizing a principal component analysis algorithm for performing dimension reduction treatment on near infrared spectrum data of the apple samples; 4) measuring the acidity and sugar degree values of the apple samples and recording; and 5) utilizing the pretreated near infrared spectrum data and acidity and sugar degree values, and combining with a neural network algorithm for establishing an apple acidity and sugar degree prediction model, thereby realizing the detection for the interior quality of the apples. According to the invention, the acidity and sugar degree values of the apples can be quickly forecast and the forecast value thereof can be directly displayed, the forecasting precision can meet the practical production requirement, the experiment system is simple in operation method, and the nondestructive testing method can be used for online detection and classification of the interior quality of the apples.

Description

Technical field: [0001] The invention relates to the technical field of spectral analysis and detection of agricultural products, and relates to a non-destructive detection method for the quality of Fuji apples based on near-infrared spectroscopy, in particular to a detection method for the internal quality of Fuji apples, especially a detection method for the sugar content and acidity of Fuji apples. Background technique: [0002] Fuji apple is a new variety that was crossed by Guoguang and Marshal in 1939 by the Morioka Branch of the Japanese Fruit Tree Experimental Field. The taste is sweet and so on. At the same time, the pulp of Fuji apples is rich in nutrients such as vitamin C, cellulose, and pectin, and is deeply loved by consumers all over the world. my country ranks first in the world in terms of total apple production, planting area, per capita share and export volume, and has become the world's largest apple producer and consumer. Among them, according to the re...

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Application Information

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IPC IPC(8): G01N21/3563G01N21/359
CPCG01N21/3563G01N21/359
Inventor 李彩虹邬渊李玲玲李廉杨裔
Owner LANZHOU UNIVERSITY
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