Intelligent potato sorting method and apparatus

Abstract

The invention discloses an intelligent potato sorting method and apparatus, comprising a mechanical potato sorting apparatus, a potato grading control method and a potato appearance quality detection method. A potato intelligent grading apparatus is formed by additionally installing a computer vision detection device and an intelligent grading control device on the basis of the mechanical potato sorting apparatus. The potato grading control method comprises a shooting control unit and a grading control unit. The potato appearance quality detection method comprises the following steps: image acquisition and preprocessing; shape detection; green skin detection; and defect detection. The shapes of potatoes are graded by calculating ovality by using an approximate ellipse method according to national standards of China and external characteristics of the potatoes; the phenomenon of green skin is detected by using the values of an R component and an H component according to color characteristics; defects are detected by using automatic threshold segmentation and are determined according to the area ratio of the defects. The grading apparatus and grading method provided by the invention overcome the disadvantages of subjectivity, low efficiency and the like of artificial detection, enable quantitative detection to be more objective and scientific, are applicable to quality grading and commerce circulation of produced potatoes and improve production efficiency.

Description

technical field [0001] The present invention relates to a method and device for detecting the appearance quality of agricultural products used in the field of agriculture. Specifically, it relates to a method and device for grading and detecting potatoes. With reference to the national export standards, real-time detection and grading of potatoes are carried out according to the weight and appearance characteristics of the potatoes. . Background technique [0002] my country is the largest potato producer in the world, but most of the potato quality inspections are still at the stage of identification and judgment by artificial senses. Requirements, not conducive to the realization of automation. The use of machine vision for detection can eliminate the interference of human subjective factors. Surface defects and shape are important characteristics of potato appearance quality. Through quantitative measurement of these characteristic indicators, comprehensive detection and ...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problems that existing potato grading equipment can only be classified according to weight, and some equipment can be classified according to appearance characteristics, but the grading algorithm is relatively complicated and cannot well meet the requirements of real-time detection, etc., a more practical one is proposed. Potato grading control method and potato appearance feature grading algorithm

[0008] The potato grading device proposed by the present invention solves the problem that the existing potato mechanical grading equipment can only be graded according to weight, but cannot detect and grade the appearance characteristics of potatoes

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