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 domain. Then, we proposed a feature extraction method, density energy feature, to better depict the interspecific differences of the plant stems. In order to evaluate the extracted 24-dimensional features of the ultrasound, the information gain method and correlation evaluation method were adopted to compute their contributions. The results showed that the mean density, an improved feature, was the most significant contributing feature in the four living plant stems. Finally, the top three features in the feature contribution were selected, and each two of them composed as 2-D feature maps, which have significant differentiation of the stem species, especially for grass and wood stems. The above research shows that the ultrasonic energy features of plant stems can provide a new perspective for the study of distinguishing the structural differences among plant stem species.

Durable Testing and Analysis of a Cleaning Sieve Based on Vibration and Strain Signals

“…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.…”

An Ultrasonic RF Acquisition System for Plant Stems Based on Labview Double Layer Multiple Triggering

“…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 ].…”