Method for detecting black core of white radish based on hyperspectral image

Abstract

The invention relates to a method for detecting a black core of a white radish based on a hyperspectral image and belongs to a nondestructive testing technique in the storage and processing industry of agricultural products. The method comprises the following steps: utilizing a hyperspectral imager to acquire a transmission hyperspectral image of the white radish during a storage process; analyzing the difference in spectral response of the normal white radish and black-core white radish; extracting a spectral value in 400-1000nm wavelength range as an input value of a neural network; and judging if the white radish has the black core. According to the method, the accurate recognition for the black core of the white radish is realized, the manual destructive testing is replaced, the unqualified products are effectively prevented from flowing into the market, the eating and processing use ratio of the white radish are increased, the development of the deep processing industry for the white radish is promoted and the reference is supplied to the application of the hyperspectral technique to the field of the agricultural products.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to View More

AI Technical Summary

Benefits of technology

This patented technique helps identify if someone's pepper carcasses have been exposed during harvesting by analyzing their spectral properties instead of just looking at them outwardly like how they were made from pure red radishes. By doing this, companies will save money on purchasing nonreusable items that may contain harmful chemical substances such as pesticides. Additionally, these techniques help detect any damage done beforehand when producing certain types of crops due to exposure to sunlight overexposures caused by weather conditions.

Problems solved by technology

Technologies are needed to accurately identify hidden redheart (SR) without damaging the crops being cultivated due to factors like weather conditions. Current methods involve manual inspections requiring long hours and expensive equipment, while advanced techniques including spectral analysis require specialized training and may result in damage to fragile plants themselves. There is an urgent technical problem addressed in this patented text relates to developing a non destructively accurate and efficient way to inspect radishes containing SR under different environmental stressors.

Images