Acta Univ. Agric. Silvic. Mendelianae Brun. 2016, 64(5), 1465-1471 | DOI: 10.11118/actaun201664051465
Detection of Acoustic Emission Characteristics of Plant According to Water Stress Condition
- 1 Department of Technology and Automobile Transport, Faculty of AgriSciences, Mendel University in Brno, Zemědělská1, 61300 Brno, Czech Republic
- 2 Department of Plant Biology, Faculty of AgriSciences, Mendel University in Brno, Zemědělská1, 61300 Brno, Czech Republic
Utilization of acoustic emission (AE) technique for understanding of plant reaction due to the change of environmental conditions was performed in this research. The object of present experiment is to study the acoustic emission characteristics acquired from water-stressed plant and well-watered plant. In this study, two specimens of maize were chosen to be test under controllable environment. The outcomes of this experiment revealed that a large number of AE signals detected from plant were able to be noticed, especially in counts number of AE signals, when the plant was under water stress condition, whereas this situation of AE signals did not appear on plat with well water condition. Moreover, multiple regression calculated to find the correlation between AE parameter received from maize and environmental parameters presented that air temperature was the most important parameter affecting to the RMS value as an AE parameter showing cavitation event of test plant. As these results, AE signals detected from test maize is capable of indicating its water stress condition. Therefore, using of AE method for monitoring the plant is considerably interested as state-of -art technique for increasing productivity, especially in agricultural field.
Keywords: acoustic emission, Multiple-regression, plant transpiration, cavitation
Grants and funding:
This research has been supported by Internal Grant Agency, Mendel University in Brno, Faculty of Agronomy [no.IP26/2015]. "Use of Acoustic Emission Testing for Monitoring of Plant Transpiration Energy".
Prepublished online: October 30, 2016; Published: November 1, 2016 Show citation
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