Method and device for detecting fruit defects based on multi-sensor information fusion

Abstract

This invention discloses one method and device to test fruit deficiency based on multi-sensor information integration, which comprises the following steps: using multiple testers to get light source to light fruit different parts spectrum information; test mode adopts continuous remove method and K near method or their combination and referring to fruit environment temperature and humidity factors to identify deficiency. This invention method uses multiple testers to test fruit to avoid leakage.

Description

technical field [0001] The invention relates to a method and device for fruit defect detection based on multi-sensor information fusion. Background technique [0002] Fruit defect detection is a very important step in the post-harvest processing of agricultural products. Separating defective fruits from normal fruits can prolong the storage period of fruits, increase the economic value of fruits, and maintain and improve the reputation of merchants. [0003] Fruit defects can be divided into two types: external defects and internal defects. Conventional methods for external defect detection use manual visual inspection or machine vision. However, manual visual inspection and machine vision can only detect external defects, but not internal defects such as water cores, etc. Internal defect detection often uses destructive methods for random inspection. Once the fruit is destroyed, it loses commercial value, and this method does not guarantee The unsampled fruits are free fr...

AI Technical Summary

Problems solved by technology

However, the algorithm does not consider the influence of temperature and humidity of the fruit environment

In addition, the method of using the detector array cannot realize the simultaneous detection of multiple parts of the fruit, so there will be cases of missed detection of internal defects of the fruit

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