Earticle

초록

영어

In this paper, the changes of electrical signal in Aloe vera L. under three damage conditions of smoking, burning and broken branches were analyzed through the wavelet soft-threshold de-noising and power spectrum method. The results showed that these methods were feasible, the electrical signal in Aloe vera L. was the low-frequency signal less than 1Hz and its amplitude was the μV level. The study also found that the changes of amplitude and power spectrum distribution of the electrical signal in Aloe vera L. under smoking condition were small, while the amplitude of the electrical signal was increased clearly and power spectrum distribution of the electrical signal shifted to high-frequency region under burning and broken branches conditions. The power spectrum edge frequency (SEF), spectrum center frequency (SCF) and power spectral entropy (PSE) were defined in order to describe the changes of power spectrum in plant signal. The changes of SEF, SCF, and PSE of power spectrum in Aloe vera L. electrical signal under the conditions of smoke, burning and broken branches were analyzed. It was showed that the SEF, SCF, and PSE of power spectrum could be used to real-time detect responses of plants to environmental stress.

목차

Abstract
 1. Introductions 
 2. Material and Method
  2.1. Material and Signal Collection
  2.2. Data progressing
 3. Results and Discussion
  3.1. The Time-Domain Features of Electrical Signals in Aloe Vera L.
  3.2. The The Amplitude of Electrical Signal in Aloe Vera L. Under Damage Conditions  
  3.3. The The Power Spectrum of Signal under Different Damage 
 4. Discussion
 5. Conclusion
 Acknowledgments
 References

키워드

저자

• Xiaohui Zhang [ College of Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China ] Corresponding author
• Hanqing Sun [ Department of Electronic and Information Engineering, Henan University of Animal Husbandry and Economy, Zhengzhou 450044, China ]
• Hongbiao Ma [ School of Information Engineer, Henan Institute of Science and Technology, Xinxiang 453003, China ]
• Gang Xi [ Department of Applied Physics, Xi′an University of Technology, Xi′an, 710048, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605