首页> 外文会议>International Conference on Neural Networks and Brain >Insect herbivory information detection by Principal Component Analysis on Electronic Nose System
【24h】

Insect herbivory information detection by Principal Component Analysis on Electronic Nose System

机译:电子鼻系统主成分分析检测昆虫草本信息检测

获取原文

摘要

In response to insect herbivory, plants synthesize and emit blends of volatile compounds from their damaged and undamaged tissues. A system comprised of computer and electronic nose could fast detect the blends of volatile of paddy rice. The method for fast detecting pest information of rice includes detecting the volatile odor, classifying volatile odor by insects, and using Principal Component Analysis(PCA). The best opportunity for detecting pest information using electronic nose is found out, which is in a range from 15 to 36 hour after insect herbivory. The results of this experiment demonstrate electronic nose is efficient to obtain pest information of rice.
机译:响应昆虫草食管,植物合成并从受损和未损坏的组织中施加挥发性化合物的混合物。由计算机和电子鼻子组成的系统可以快速检测稻米挥发的混合物。快速检测水稻害虫信息的方法包括检测挥发性气味,通过昆虫分类挥发性气味,并使用主成分分析(PCA)。发现使用电子鼻子检测害虫信息的最佳机会,其在昆虫草食病后的15至36小时的范围内。该实验的结果表明电子鼻子有效地获得米饭的害虫信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号