A technique system for the measurement, reconstruction and character extraction of rice plant architecture
This study developed a technique system for the measurement, reconstruction, and trait extraction of rice canopy architectures, which have challenged functional–structural plant modeling for decades and have become the foundation of the design of ideo-plant architectures. The system uses the locatio...
| Main Authors: | , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Public Library of Science
2017
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| Online Access: | https://hdl.handle.net/10568/165048 |
| _version_ | 1855513117284368384 |
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| author | Li, Xumeng Wang, Xiaohui Wei, Hailin Zhu, Xinguang Peng, Yulin Li, Ming Li, Tao Huang, Huang |
| author_browse | Huang, Huang Li, Ming Li, Tao Li, Xumeng Peng, Yulin Wang, Xiaohui Wei, Hailin Zhu, Xinguang |
| author_facet | Li, Xumeng Wang, Xiaohui Wei, Hailin Zhu, Xinguang Peng, Yulin Li, Ming Li, Tao Huang, Huang |
| author_sort | Li, Xumeng |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study developed a technique system for the measurement, reconstruction, and trait extraction of rice canopy architectures, which have challenged functional–structural plant modeling for decades and have become the foundation of the design of ideo-plant architectures. The system uses the location-separation-measurement method (LSMM) for the collection of data on the canopy architecture and the analytic geometry method for the reconstruction and visualization of the three-dimensional (3D) digital architecture of the rice plant. It also uses the virtual clipping method for extracting the key traits of the canopy architecture such as the leaf area, inclination, and azimuth distribution in spatial coordinates. To establish the technique system, we developed (i) simple tools to measure the spatial position of the stem axis and azimuth of the leaf midrib and to capture images of tillers and leaves; (ii) computer software programs for extracting data on stem diameter, leaf nodes, and leaf midrib curves from the tiller images and data on leaf length, width, and shape from the leaf images; (iii) a database of digital architectures that stores the measured data and facilitates the reconstruction of the 3D visual architecture and the extraction of architectural traits; and (iv) computation algorithms for virtual clipping to stratify the rice canopy, to extend the stratified surface from the horizontal plane to a general curved surface (including a cylindrical surface), and to implement in silico. Each component of the technique system was quantitatively validated and visually compared to images, and the sensitivity of the virtual clipping algorithms was analyzed. This technique is inexpensive and accurate and provides high throughput for the measurement, reconstruction, and trait extraction of rice canopy architectures. The technique provides a more practical method of data collection to serve functional–structural plant models of rice and for the optimization of rice canopy types. Moreover, the technique can be easily adapted for other cereal crops such as wheat, which has numerous stems and leaves sheltering each other |
| format | Journal Article |
| id | CGSpace165048 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Public Library of Science |
| publisherStr | Public Library of Science |
| record_format | dspace |
| spelling | CGSpace1650482025-01-24T14:11:46Z A technique system for the measurement, reconstruction and character extraction of rice plant architecture Li, Xumeng Wang, Xiaohui Wei, Hailin Zhu, Xinguang Peng, Yulin Li, Ming Li, Tao Huang, Huang This study developed a technique system for the measurement, reconstruction, and trait extraction of rice canopy architectures, which have challenged functional–structural plant modeling for decades and have become the foundation of the design of ideo-plant architectures. The system uses the location-separation-measurement method (LSMM) for the collection of data on the canopy architecture and the analytic geometry method for the reconstruction and visualization of the three-dimensional (3D) digital architecture of the rice plant. It also uses the virtual clipping method for extracting the key traits of the canopy architecture such as the leaf area, inclination, and azimuth distribution in spatial coordinates. To establish the technique system, we developed (i) simple tools to measure the spatial position of the stem axis and azimuth of the leaf midrib and to capture images of tillers and leaves; (ii) computer software programs for extracting data on stem diameter, leaf nodes, and leaf midrib curves from the tiller images and data on leaf length, width, and shape from the leaf images; (iii) a database of digital architectures that stores the measured data and facilitates the reconstruction of the 3D visual architecture and the extraction of architectural traits; and (iv) computation algorithms for virtual clipping to stratify the rice canopy, to extend the stratified surface from the horizontal plane to a general curved surface (including a cylindrical surface), and to implement in silico. Each component of the technique system was quantitatively validated and visually compared to images, and the sensitivity of the virtual clipping algorithms was analyzed. This technique is inexpensive and accurate and provides high throughput for the measurement, reconstruction, and trait extraction of rice canopy architectures. The technique provides a more practical method of data collection to serve functional–structural plant models of rice and for the optimization of rice canopy types. Moreover, the technique can be easily adapted for other cereal crops such as wheat, which has numerous stems and leaves sheltering each other 2017-05-30 2024-12-19T12:54:38Z 2024-12-19T12:54:38Z Journal Article https://hdl.handle.net/10568/165048 en Open Access Public Library of Science Li, Xumeng; Wang, Xiaohui; Wei, Hailin; Zhu, Xinguang; Peng, Yulin; Li, Ming; Li, Tao and Huang, Huang. 2017. A technique system for the measurement, reconstruction and character extraction of rice plant architecture. PLoS ONE, Volume 12 no. 5 p. e0177205 |
| spellingShingle | Li, Xumeng Wang, Xiaohui Wei, Hailin Zhu, Xinguang Peng, Yulin Li, Ming Li, Tao Huang, Huang A technique system for the measurement, reconstruction and character extraction of rice plant architecture |
| title | A technique system for the measurement, reconstruction and character extraction of rice plant architecture |
| title_full | A technique system for the measurement, reconstruction and character extraction of rice plant architecture |
| title_fullStr | A technique system for the measurement, reconstruction and character extraction of rice plant architecture |
| title_full_unstemmed | A technique system for the measurement, reconstruction and character extraction of rice plant architecture |
| title_short | A technique system for the measurement, reconstruction and character extraction of rice plant architecture |
| title_sort | technique system for the measurement reconstruction and character extraction of rice plant architecture |
| url | https://hdl.handle.net/10568/165048 |
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