Method and system for detecting quality of kelps

Abstract

The embodiment of the invention discloses a method for detecting the quality of kelps. The method comprises the following steps: in a historical database, extracting a certain amount of kelp data to form a sample set, inputting the extracted sample set into a preset least square support vector machine to carry out intelligent learning, and thus obtaining a support vector machine model for detecting the quality of the kelps, wherein the kelp data includes color signals and corresponding odor signals of the kelps with known quality, and the quality is qualified or unqualified; and acquiring color signals and odor signals of the kelps to be detected, and transmitting the color signals and the odor signals of the kelps to be detected into the support vector machine model to obtain the quality of the kelps to be detected. The method disclosed by the embodiment of the invention has the characteristics that fast and effective quality detection for the kelps can be realized, simultaneously the detecting capability is strong, the false detection ratio is low, the time and the labor are saved and the like.

Description

technical field [0001] The invention relates to the technical field of kelp quality detection, in particular to a method and system for kelp quality detection. Background technique [0002] At present, the area of ​​kelp cultivation in my country is about 41,000 hectares. During the "Twelfth Five-Year Plan" period, the average annual growth rate of kelp cultivation area reached 42.75%, and the annual output of processed products was more than 800,000 tons, making kelp rank first in the world in terms of total output and cultivation scale. first place. The nutritional value of kelp is very high. It is rich in protein, amino acids, kelp polysaccharides, vitamins, etc., but poor quality kelp will produce a large amount of aflatoxin, which is extremely harmful to the human body. Therefore, the quality inspection of kelp is a key link to ensure a safe diet of kelp , also directly determines the competitiveness of my country's kelp export. It can be seen that designing an intellig...

AI Technical Summary

Problems solved by technology

[0004] However, the inventors have found that the existing kelp quality detection methods basically rely on artificial naked eyes and hands to judge, which is time-consuming and laborious, and cannot guarantee the quality of large quantities of kelp from the factory.

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