• DocumentCode
    2612374
  • Title

    Study and evaluation of plant electrical signal processing method

  • Author

    Jingxia, Lu ; Weimin, Ding

  • Author_Institution
    Coll. of Eng., Nanjing Agric. Univ., Nanjing, China
  • Volume
    5
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    2788
  • Lastpage
    2791
  • Abstract
    Plant electrical signal is a kind of weak signal which is generated when the resting potential of plant cells or tissues changes under outside stimuli and can be transmitted among plant cells and tissues. Important physiological information of plant can be obtained through processing and analysis of the signal. Based on characteristics of plant electrical signal, this paper analyses electrical signals of plant in time domain, frequency domain and time-frequency domain and discusses advantages and existing problems of each processing method. Result shows that time-frequency analysis reflects substantive characteristics of plants signals more deeply and effectively than another two methods. This study provides certain theoretical references and analytic bases for future studies in this area.
  • Keywords
    bioelectric phenomena; biological tissues; botany; cellular transport; frequency-domain analysis; time-domain analysis; time-frequency analysis; plant cell resting potential; plant electrical signal processing; plant physiological information; plant tissue resting potential; time domain plant electrical signal analysis; time-frequency domain plant electrical signal analysis; Electric potential; Plants (biology); Spectral analysis; Time domain analysis; Time frequency analysis; Wavelet transforms; Power Spectrum Estimation; plant electrical signal; signal processing; wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2011 4th International Congress on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9304-3
  • Type

    conf

  • DOI
    10.1109/CISP.2011.6100693
  • Filename
    6100693