集美大学学报（自然科学版）Issue(6)：421-427,7.
基于太赫兹光谱和支持向量机快速检测棉花种子
Rapid Detection of Cotton Seed Based on THz Spectroscopy Combined with SVM
摘要
Abstract
At present, the detection of agricultural products is mostly based on visible/near infrared spectroscopy. In view of this, a fast and non⁃destructive detection method of cotton seeds based on terahertz spectroscopy combined with Support Vector Machine ( SVM) was proposed. For the classification and recog⁃nition of different varieties cotton seeds, the terahertz spectra of two kinds of transgenic and two kinds of non⁃transgenic cotton seeds containing 40 samples in total were collected in the frequency range of 0�2~1�2 THz, using the Genetic Algorithm ( GA) to optimized support vector machine. A recognition model to recognize different varieties of cotton seeds was established. The experimental results showed that the recognition rate of cotton seeds reached 93�75%. Therefore, the terahertz spectroscopy combined with support vector machine may provide an accurate, fast and simple method for the detection of different varieties of organisms.关键词
太赫兹/光谱/支持向量机/棉花/种子/检测/遗传算法Key words
THz/spectrum/SVM/cotton/seed/detection/GA分类
信息技术与安全科学引用本文复制引用
杜勇,刘建军..基于太赫兹光谱和支持向量机快速检测棉花种子[J].集美大学学报（自然科学版）,2015,(6):421-427,7.基金项目
福建省自然科学基金资助项目 （）
