A method for predicting the comprehensive quality of dried apple products based on apple raw material indexes

A technology for dry products and apples, which is applied in the field of predicting the comprehensive quality of dry products, can solve the problems of low processing performance accuracy, limitations, small scope of application, and inability to predict the processing performance of unknown raw material samples, so as to promote development and reflect differences. Effect

Pending Publication Date: 2019-02-12
INST OF AGRO FOOD SCI & TECH CHINESE ACADEMY OF AGRI SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the research on the comprehensive quality evaluation of products mostly uses AHP, gray correlation and other methods for separate analysis. For example, Wu Houjiu et al. used the percentage method to judge the quantitative evaluation method of sweet orange variety processing suitability, and Wang Yongyang et al. predicted grape quality based on the apparent characteristics. Sensory quality of table grapes, such methods can only evaluate the processing characteristics of the variety studied, and cannot predict the processing performance of unknown raw material samples
Existing methods for correlating raw material characteristics and product quality only use linear models such as discriminant function and linear regression. Dealing with the complex nonlinear correspondence between indicators has limitations, the scope of application is small, and the accuracy of predicting the processing performance of unknown samples is low.

Method used

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  • A method for predicting the comprehensive quality of dried apple products based on apple raw material indexes
  • A method for predicting the comprehensive quality of dried apple products based on apple raw material indexes
  • A method for predicting the comprehensive quality of dried apple products based on apple raw material indexes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] (1) Select an apple sample

[0041] 34 apple varieties from all over the country were selected as experimental raw materials, and the names and origins of some varieties are shown in Table 1. The fruit is sampled at the mature stage, without mechanical damage, and without pests and diseases.

[0042] Table 1 Partial apple variety names and origin

[0043]

[0044] (2) Determine the quality grade of dried apple products

[0045] The comprehensive quality of dry products mainly considers its sensory quality, processing quality and nutritional quality. Sensory quality includes color quality (L*, a*, b* value), texture quality (hardness, crispness), puffing degree, and processing quality includes rate, rehydration ratio, water content, nutritional quality including soluble solids, titratable acid, total phenol content, pectin content, soluble sugar, sugar-acid ratio, crude protein, crude fiber, a total of 17 indicators (initial dry product evaluation index). Dimensio...

Embodiment 2

[0069] (1) Select an apple sample

[0070] 34 apple varieties from all over the country were selected as experimental raw materials, and the names and origins of some varieties are shown in Table 7. The fruit is sampled at the mature stage, without mechanical damage, and without pests and diseases.

[0071] Table 7 Partial Apple Variety Names and Origins

[0072]

[0073]

[0074] (2) Determine the comprehensive score of dried apple products

[0075] The sensory scores of dry products mainly consider the scores of color, texture and flavor. The sensory evaluation table is shown in Table 8, and the comprehensive score is shown in Table 9.

[0076] Table 8 Sensory evaluation table of dried apple products

[0077]

[0078] Table 9 Comprehensive score of dried apple products

[0079]

[0080] (3) Selection of apple raw material evaluation indicators

[0081] The color score, texture score, and flavor score of the dry product were correlated with the initial apple ra...

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Abstract

The invention discloses a method for predicting the comprehensive quality of a dried product based on an apple raw material index. The method comprises the following steps of determining an evaluationindex of the dried product and establishing a corresponding relationship between the evaluation index of the dried product and the comprehensive quality; determining an apple raw material evaluationindex related to the dry product evaluation index; obtaining the apple raw material evaluation index data of the training sample, obtaining the dry product evaluation index data of the training sample, calculating the comprehensive quality of each training sample, taking the apple raw material evaluation index data of the training sample as the input layer, taking the comprehensive quality as theoutput layer, training to obtain the neural network learning model; using the neural network learning model and the apple raw material evaluation index data of the dried product to be tested to predict the comprehensive quality of the dried product to be tested. The map relationship between the input and the output is not determined in advance, so that the method of the invention has the advantageof fast prediction speed and high precision.

Description

technical field [0001] The invention relates to the related field of apple processing. More specifically, the present invention relates to a method for predicting the comprehensive quality of dried products based on apple raw material indexes. Background technique [0002] Apple ranks first among the four major fruits in the world. my country is the largest producer and consumer of apples in the world. Apples are widely planted in my country and are also rich in varieties. In addition to being used as fresh food, apples can also be squeezed into juice and made into dried products. However, the current supply of fresh food is saturated, and the development momentum of processing and transformation is insufficient. Diversified processing technologies are urgently needed. As a new type of snack food, dried apple products are delicious and healthy, can enrich the apple processing industry, drive the processing and transformation of raw materials, and have good development prosp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/06393
Inventor 毕金峰刘璇曹风张彪吴昕烨金鑫
Owner INST OF AGRO FOOD SCI & TECH CHINESE ACADEMY OF AGRI SCI
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