关键词: PCA 算法, 智能化系统, SVM 算法, 模式识别算法, 人参鉴别

Abstract: In order to realize the identification of panax ginseng, an intelligent automatic detection system is
developed. The hardware of the system mainly includes the driving circuit of the gas sensor array, signal
collecting and conditioning circuit, information processing circuit, air inlet part control circuit and external
interface circuit. The system uses PCA (Principal Component Analysis) and SVM (Support Vector Machine)
algorithm to realize the identification of ginseng category. The intelligent control of the temperature of the gas
chamber is realized by PID (Proportion Integral Differential) algorithm. And the stability and Accuracy of the
gas sensor is improved. The results showed that the system had high accuracy in the identification of Panax
ginseng. The red ginseng, white ginseng, American ginseng, heterophylla, Panax notoginseng and the
trichosanthin of similar shape and odor are used to test by the system. The experimental results show that the
system has a high accuracy in the identification of ginseng, and it is simple in operation and the cost is low, and
has good application prospect.

Key words: support vector machine (SVM), the pattern recognition algorithm, principal component analysis (PCA), ginseng identification, the intelligent system