Identification of damaged corn seeds using air-coupled ultrasound
使用空气耦合的超声波损坏玉米种子的鉴定作者机构：College of Information and Electrical EngineeringChina Agricultural UniversityBeijing 100083China Institute of AcousticsChinese Academy of SciencesBeijing 100190China
出 版 物：《International Journal of Agricultural and Biological Engineering》 (国际农业与生物工程学报（英文）)
年 卷 期：2016年第9卷第1期
页 面：63-70页
核心收录：
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：damaged corn seed identification air-coupled ultrasonic principal component analysis KNN
摘 要：Corn,an important staple in many countries around the world,is subject to a very inefficient germination rate due to worm-damaged ***,air-coupled ultrasound is a rapid,safe and widely accepted method for the early detection of such *** this study,the current effectiveness and future prospects of this technique for identifying damaged seeds were *** presented procedure started with drawing a sample of 810 seed particles,consisting of 400 that were intact,400 manually damaged and 10 damaged by *** the principal component analysis(PCA)method was used to reduce the dimensions of air-coupling ultrasonic information and extract the top ten principal ***,a KNN decision tree by using SIMCA software and a Fisher recognition model by using MATLAB software were *** pattern recognition was established by using KNN,which has the most accurate recognition *** correct recognition rate of modeling for the front and back data of the intact particles was 98%and 100%,respectively;and for the manually damaged particles,99%and 97%,*** results show that the model developed by using air-coupled ultrasonic data can classify corn seed particles both with and without holes to provide a basis for the development of a seed selection system,which has a significant role in improving the clarity and the germination rate.
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