Fruit ripeness ultrasonic non-destructive detection method and system based on comparison method

Abstract

The invention provides a fruit ripeness ultrasonic non-destructive detection method and system based on a comparison method. The method comprises the following steps of: conducting training and learning on fruit, dividing grades for fruit ripeness through training and learning results, and establishing fruit ripeness models and optimum measurement frequency of target fruit; really measuring the target fruit, and acquiring two characteristic values of the target fruit, i.e. attenuation ratio and transmission speed; and comparing the target fruit with the fruit models obtained from training andlearning to obtain ripeness degree. The system comprises a fruit detection module, an acoustic range measurement module, an information processing module and a control and display module, wherein thecontrol and display module is connected with the information processing module and the acoustic range measurement module, the information processing module is connected with the fruit detection module, and meanwhile, the fruit detection module is connected with the acoustic range measurement module. The method and the system, which are provided by the invention, can realize non-destructive detection, do not require manual judgment and have the advantages of being simple to realize, easy to operate and wide in application range.

Description

technical field [0001] The invention relates to the field of ultrasonic non-destructive testing, in particular to a method and system for fruit ripening detection. Background technique [0002] In daily life, when people buy watermelons, apples and other fruits with a lot of water, they often need to judge whether their growth is mature or not. Generally, they use methods such as watching, listening, touching and weighing to judge by experience, which is not only time-consuming and laborious, but also And it doesn't work very well. In the process of agricultural production, judging the maturity of unpicked fruits is also an extremely important link. Through judging, it can be inferred when is the most suitable time for picking, so as to reasonably arrange post-marketing. Classified storage, transportation, sales and other links. Since the fruit has not been picked, it is impossible for us to test whether it is ripe or not by tasting. If we pass observation, it will take ye...

AI Technical Summary

Problems solved by technology

[0007] 1. During the ripening process, it may cause physical damage to the fruit and damage the skin of the fruit, which is not conducive to the transportation and storage after the test;

[0008] 2. The operation of the device is inconvenient, and it is not fully automatic, requiring manual judgment;

[0009] 3. Only for a single fruit to detect ripeness, the applicability is not strong enough;

[0010] 4. Portability and ease of use cannot be combined

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