Feature Extraction on the Difference of Plant Stem Structure Based on Ultrasound Energy
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 ec...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/13/1/52 |
| _version_ | 1797447308171804672 |
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| author | Danju Lv Jiali Zi Xin Huang Mingyuan Gao Rui Xi Wei Li Ziqian Wang |
| author_facet | Danju Lv Jiali Zi Xin Huang Mingyuan Gao Rui Xi Wei Li Ziqian Wang |
| author_sort | Danju Lv |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T13:54:03Z |
| format | Article |
| id | doaj.art-62dacf62e40d45d7902d7d37d3783d7e |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-09T13:54:03Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-62dacf62e40d45d7902d7d37d3783d7e2023-11-30T20:44:59ZengMDPI AGAgriculture2077-04722022-12-011315210.3390/agriculture13010052Feature Extraction on the Difference of Plant Stem Structure Based on Ultrasound EnergyDanju Lv0Jiali Zi1Xin Huang2Mingyuan Gao3Rui Xi4Wei Li5Ziqian Wang6College of big data and intelligent engineering, Southwest Forestry University, Kunming 650224, ChinaCollege of big data and intelligent engineering, Southwest Forestry University, Kunming 650224, ChinaCollege of big data and intelligent engineering, Southwest Forestry University, Kunming 650224, ChinaCollege of big data and intelligent engineering, Southwest Forestry University, Kunming 650224, ChinaCollege of big data and intelligent engineering, Southwest Forestry University, Kunming 650224, ChinaCollege of big data and intelligent engineering, Southwest Forestry University, Kunming 650224, ChinaCollege of big data and intelligent engineering, Southwest Forestry University, Kunming 650224, ChinaPlant 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.https://www.mdpi.com/2077-0472/13/1/52online non-destructive detectionstructure of plant stemsultrasonic featurefeature extractionfeature contribution |
| spellingShingle | Danju Lv Jiali Zi Xin Huang Mingyuan Gao Rui Xi Wei Li Ziqian Wang Feature Extraction on the Difference of Plant Stem Structure Based on Ultrasound Energy Agriculture online non-destructive detection structure of plant stems ultrasonic feature feature extraction feature contribution |
| title | Feature Extraction on the Difference of Plant Stem Structure Based on Ultrasound Energy |
| title_full | Feature Extraction on the Difference of Plant Stem Structure Based on Ultrasound Energy |
| title_fullStr | Feature Extraction on the Difference of Plant Stem Structure Based on Ultrasound Energy |
| title_full_unstemmed | Feature Extraction on the Difference of Plant Stem Structure Based on Ultrasound Energy |
| title_short | Feature Extraction on the Difference of Plant Stem Structure Based on Ultrasound Energy |
| title_sort | feature extraction on the difference of plant stem structure based on ultrasound energy |
| topic | online non-destructive detection structure of plant stems ultrasonic feature feature extraction feature contribution |
| url | https://www.mdpi.com/2077-0472/13/1/52 |
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