Research on Quality Grading Method of Potted Mini Rose Based on Machine Vision
Potted mini rose has the characteristics of varieties,difficult of storage and large quality gap.Therefore,the establishment of accu-rate and efficient quality grading technology is of great significance for the standardized development of flower industry.As the traditional manu-al grading method need high labor intensity,high experience and lack of unity,we proposed a new quality grading method of potted mini rose based on machine vision.According to the different characteristics of plant height,flower number,uniformity,flower coverage and pest status of potted mini roses,the corresponding characteristic parameters were extracted,and the least squares support vector machine was used as a classi-fier to evaluate the quality grade.Through the experiment,the accuracy of a single characteristic were 95.65%,94.68%,94.68%,94.20% and 96.61%,respectively,while the accuracy of grading using the synthetic features was 99.50%,which verified the effectiveness of the proposed method.Generally,the manual grading method took several days,while the time of grading by the proposed method was 10 s,which obviously improved the efficiency.This method could provide basis for establishing an accurate and efficient intelligent grading method of potted mini rose.
Machine visionPotted mini roseQuality gradingFeature extraction
万方数据
维普
