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Method and device for nondestructive and rapid prediction of shelf life and freshness of fruits

A shelf-life, fresh technology, applied in the field of spectral analysis, can solve the problems of continuous changes without detailed and in-depth research and low accuracy

Active Publication Date: 2019-11-05
BEIJING ACADEMY OF AGRICULTURE & FORESTRY SCIENCES
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AI Technical Summary

Problems solved by technology

[0005] Currently reported based on methods such as near-infrared spectroscopy to predict the shelf life / shelf life of fruits or other agricultural products / foods, the common problems mainly include: using samples at different time points to establish a discriminant model, while for fruits or other agricultural products / foods There is no detailed and in-depth research on continuous changes, that is, the prediction accuracy is not high; in addition, the storage time classification can only be carried out for the samples to be tested, that is, it is determined that the samples to be tested belong to a certain storage stage, and there is no real realization based on data such as near-infrared spectroscopy. Prediction of sample shelf life / freshness

Method used

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  • Method and device for nondestructive and rapid prediction of shelf life and freshness of fruits
  • Method and device for nondestructive and rapid prediction of shelf life and freshness of fruits
  • Method and device for nondestructive and rapid prediction of shelf life and freshness of fruits

Examples

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Effect test

Embodiment 1

[0105] Example 1 Establishment of shelf life of Fuji apples and discriminant analysis of freshness

[0106] combine Figure 1 ~ Figure 4 , to analyze the formulation of shelf life and freshness discrimination of Fuji apples. The agricultural products described in this embodiment are apples, preferably Fuji apples produced in Changping District, Beijing. Ripe Fuji apples are picked in the orchard, and the day of picking is recorded as "Day 0". Every day after that, the number of apple storage days increases by 1. The near-infrared spectrum data of 8 Fuji apples were collected each time, and the data was collected once a day at most, and the ambient temperature and relative humidity data were recorded at the same time. After the end of the experiment, a total of 32 days have passed, and the number of observation / collection of spectral data is 25 times. The ambient temperature and relative humidity are statistically analyzed. The minimum value of the ambient temperature is 19....

Embodiment 2

[0133] Example 2 The formulation of the shelf life of Wanglin apples and the discrimination of freshness

[0134] combine figure 1 and Figure 5 ~ Figure 7 , and analyzed the formulation of shelf life and freshness discrimination of Wanglin apples. The agricultural products described in this embodiment are apples, preferably Wanglin apples produced in Changping District, Beijing. Ripe Wanglin apples are picked in the orchard, and the day of picking is recorded as "day 0". After that, the number of storage days for apples increases by 1 every day. The near-infrared spectrum data of 8 Wanglin apples were collected each time, and the data was collected once a day at most, and the ambient temperature and relative humidity data were recorded at the same time. After the end of the experiment, a total of 32 days have passed, and the number of observation / collection of spectral data is 25 times. The ambient temperature and relative humidity are statistically analyzed. The minimum ...

Embodiment 3

[0161] Embodiment 3 Development and application of non-destructive and fast analyzer for freshness of fruit

[0162] In order to realize the prediction of apple freshness and shelf life, the present invention proposes a design scheme of a non-destructive fast analyzer for fruit freshness. combine Figure 8 ~ Figure 10 The design scheme of the non-destructive and fast analyzer for fruit freshness is described.

[0163] The non-destructive fast analyzer for freshness of fruit includes an optical system, a circuit system, a control system, a data storage and processing system, and the analyzer includes a probe part 1-1, a handle part 1-2 and a base part 1-3. The analyzer stores the data collected by the optical system, obtains the sample prediction data according to the built model, calculates the weighted correction prediction value, and judges the freshness of the fruit sample through the discrimination threshold.

[0164] The optical system includes a spectrometer 2, a spect...

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Abstract

The invention provides a method and device for nondestructive and rapid prediction of shelf life and freshness of fruits. The method comprises the following steps that spectroscopic data of the fruitswith different pieces of storage time is obtained, and the storage time and environmental data of the fruits are recorded; a fruit storage time model is established by adopting a regression algorithm, and based on a prediction value of the established model and combined with a sample number, a weighted and modified prediction value and a discrimination threshold are calculated, thereby judging the freshness of the fruits. The invention provides a method for formulating the shelf life of the fruits according to data of critical change periods of the fruits. Based on the method, an analysis meter for the freshness of the fruits is developed, and comprises an optical system, a circuit system, a control system and a data storage and processing system; the spectroscopic data of the fruits canbe collected, and the model is called to predict the freshness of the fruits. The method significantly improves the freshness of the fruits and the accuracy of the prediction of the shelf life, can achieve the nondestructive, rapid and precise prediction of the freshness and shelf life of the fruits, and provides a technical reference for the development of the rapid analysis meter for the freshness of the fruits.

Description

technical field [0001] The invention relates to the field of spectral analysis, in particular to a non-destructive and rapid prediction method and device for fruit shelf life and freshness. Background technique [0002] Fruit shelf life is an important measure of fruit freshness and is an important parameter in the marketing process. It is generally believed that fruits within the shelf life are fresh fruits and suitable for consumption; while fruits outside the shelf period are stale fruits and are not suitable for consumption. It is not uncommon for fruit to be lost and wasted due to improper preservation conditions, which lead to a sharp drop in the freshness of the fruit, resulting in huge economic losses. Therefore, it is necessary to predict the degree of fruit freshness, and based on the results of judging the degree of fruit freshness, study the formulation method of fruit shelf life. [0003] Different fruits undergo different changes during storage. Even differen...

Claims

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Application Information

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IPC IPC(8): G01N21/25G01N21/359G01N21/3563G01N33/02G06Q10/04G06Q50/28
CPCG01N21/25G01N21/359G01N21/3563G01N33/025G06Q10/04G01N2201/129G01N2201/1296G06Q10/08
Inventor 王冬韩平马智宏王卉贾文珅刘庆菊王世芳
Owner BEIJING ACADEMY OF AGRICULTURE & FORESTRY SCIENCES
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