Multiple apple quality indexes-based visualized evaluation method

Abstract

The invention belongs to the technical field of apple quality evaluation, discloses a multiple apple quality indexes-based visualized evaluation method, and aims at establishing a comprehensive applequality evaluation method on the basis of a radar map with strong visualization and a multi-index evaluation function. The method is an evaluation method for comprehensively calculating the quality ofthe apples through taking the apple quality factor indexes such as sugar degree, acidity, peel maximum force, pulp average hardness and color h* as apple quality evaluation indexes by utilizing a geometric characteristic technology of the radar map. The radar map-based comprehensive evaluation method provided by the invention is capable of integrating and unifying the single and dispersed evaluation indexes of the apple quality, thereby realizing the comprehensive evaluation for the apple quality and providing a scientific and technical way and a method support for the grading of the Fuji apples and the selection of the high-quality fruits.

Description

technical field [0001] The invention belongs to the technical field of apple quality evaluation, in particular to a visual evaluation method based on multiple apple quality indicators. Background technique [0002] At present, the closest existing technology: according to FAO statistics, the total output of apples in my country in 2017 was 44.5 million tons, accounting for 58% of the world's total output, and the apple consumption was 38.38 million tons, accounting for 59% of the world's total. It ranks first in the world (Pang Guijuan et al. 2018). However, the quality of my country's apples is uneven, resulting in the fact that my country's apples and their processing industries are not very dominant in the domestic and foreign markets. There are many reasons for the uneven quality of apples in my country. For example, my country's national standard GB / T10651-2008 "Fresh Apple" and the agricultural industry standard NY / T2316-2013 "Apple Quality Index Evaluation Specificat...

AI Technical Summary

Problems solved by technology

[0004] (1) Most of the existing technologies use the regression model to evaluate apple quality, ignoring the internal correlation of apple quality indicators, and not using single and scattered evaluation indicators of apple quality (sugar content, acidity, maximum peel cracking force, Average pulp hardness, color h*, etc.) integrated and unified

[0005] (2) There is a certain regionality in the evaluation of apple quality. People in different regions have different evaluations of apple quality, and it is difficult to achieve a unified evaluation result.

The solution to problem 2 requires a large amount of experimental data, and the time cost and labor cost are relatively large, so it is difficult to solve

Images