Detection of acoustic emission characteristics of plant according to water stress condition

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F16%3A43909877" target="_blank" >RIV/62156489:43210/16:43909877 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.11118/actaun201664051465" target="_blank" >https://doi.org/10.11118/actaun201664051465</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.11118/actaun201664051465" target="_blank" >10.11118/actaun201664051465</a>

Result language
angličtina
Original language name
Detection of acoustic emission characteristics of plant according to water stress condition
Original language description
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.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JS - Reliability and quality management, industrial testing
OECD FORD branch
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
ISSN
1211-8516
e-ISSN
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Volume of the periodical
64
Issue of the periodical within the volume
5
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
7
Pages from-to
1465-1471
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-84994504584

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