2022
DOI: 10.3390/agriculture13010052
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Feature Extraction on the Difference of Plant Stem Structure Based on Ultrasound Energy

Abstract: Plant growth is closely related to the structure of its stem. The ultrasonic echo signal of the plant stem carries much information on the stem structure, providing an effective means for analyzing stem structure characteristics. In this paper, we proposed to extract energy features of ultrasonic echo signals to study the structure of the plant stem. Firstly, it is found that there are obvious different ultrasonic energy changes in different kinds of plant stems whether in the time domain or the frequency doma… Show more

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Cited by 2 publications
(2 citation statements)
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“…By analyzing the waveform and amplitude of the time-domain signal, the motion state of the cleaning sieve can be preliminarily judged. Ten commonly used time-domain characteristic indexes, such as the mean value, peak value, and root amplitude, were selected for analysis [29,30], and their specific calculation formulas are listed in Table 3.…”
Section: Time-domain Analysis Of the Vibration Signalmentioning
confidence: 99%
“…By analyzing the waveform and amplitude of the time-domain signal, the motion state of the cleaning sieve can be preliminarily judged. Ten commonly used time-domain characteristic indexes, such as the mean value, peak value, and root amplitude, were selected for analysis [29,30], and their specific calculation formulas are listed in Table 3.…”
Section: Time-domain Analysis Of the Vibration Signalmentioning
confidence: 99%
“…Existing memory settings of dedicated ultrasound acquisition devices are limited by the echo position range of the detected object and rely on a fixed number of sampling points determined by the acquisition card’s capacity. However, in the field of ultrasound analysis of plant stems, where the detection of ultrasound radio frequency (RF) signals is a novel research area, there are unique challenges and potential applications for non-destructive, real-time monitoring of cavitation, embolization, and stem moisture changes through RF signal analysis [ 13 , 14 ].…”
Section: Introductionmentioning
confidence: 99%