Calculation Method for Phenotypic Traits Based on the 3D Reconstruction of Maize Canopies
A reasonable plant type is an essential factor for improving canopy structure, ensuring a reasonable expansion of the leaf area index and obtaining a high-quality spatial distribution of light. It is of great significance in promoting effective selection of the ecological breeding index and producti...
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MDPI AG
2019-03-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/19/5/1201 |
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| author | Xiaodan Ma Kexin Zhu Haiou Guan Jiarui Feng Song Yu Gang Liu |
| author_facet | Xiaodan Ma Kexin Zhu Haiou Guan Jiarui Feng Song Yu Gang Liu |
| author_sort | Xiaodan Ma |
| collection | DOAJ |
| description | A reasonable plant type is an essential factor for improving canopy structure, ensuring a reasonable expansion of the leaf area index and obtaining a high-quality spatial distribution of light. It is of great significance in promoting effective selection of the ecological breeding index and production practices for maize. In this study, a method for calculating the phenotypic traits of the maize canopy in three-dimensional (3D) space was proposed, focusing on the problems existing in traditional measurement methods in maize morphological structure research, such as their complex procedures and relatively large error margins. Specifically, the whole maize plant was first scanned with a FastSCAN hand-held scanner to obtain 3D point cloud data for maize. Subsequently, the raw point clouds were simplified by the grid method, and the effect of noise on the quality of the point clouds in maize canopies was further denoised by bilateral filtering. In the last step, the 3D structure of the maize canopy was reconstructed. In accordance with the 3D reconstruction of the maize canopy, the phenotypic traits of the maize canopy, such as plant height, stem diameter and canopy breadth, were calculated by means of a fitting sphere and a fitting cylinder. Thereafter, multiple regression analysis was carried out, focusing on the calculated data and the actual measured data to verify the accuracy of the calculation method proposed in this study. The corresponding results showed that the calculated values of plant height, stem diameter and plant width based on 3D scanning were highly correlated with the actual measured data, and the determinant coefficients R2 were 0.9807, 0.8907 and 0.9562, respectively. In summary, the method proposed in this study can accurately measure the phenotypic traits of maize. Significantly, these research findings provide technical support for further research on the phenotypic traits of other crops and on variety breeding. |
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| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:28:42Z |
| publishDate | 2019-03-01 |
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| spelling | doaj.art-b3a6f23828b9408891ecc0e4d7dccfa62022-12-22T03:59:34ZengMDPI AGSensors1424-82202019-03-01195120110.3390/s19051201s19051201Calculation Method for Phenotypic Traits Based on the 3D Reconstruction of Maize CanopiesXiaodan Ma0Kexin Zhu1Haiou Guan2Jiarui Feng3Song Yu4Gang Liu5College of electrical and information, Heilongjiang Bayi Agricultural University, Daqing 163319, ChinaCollege of electrical and information, Heilongjiang Bayi Agricultural University, Daqing 163319, ChinaCollege of electrical and information, Heilongjiang Bayi Agricultural University, Daqing 163319, ChinaCollege of electrical and information, Heilongjiang Bayi Agricultural University, Daqing 163319, ChinaAgronomy College of Heilongjiang Bayi Agricultural University, Daqing 163319, ChinaKey Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, ChinaA reasonable plant type is an essential factor for improving canopy structure, ensuring a reasonable expansion of the leaf area index and obtaining a high-quality spatial distribution of light. It is of great significance in promoting effective selection of the ecological breeding index and production practices for maize. In this study, a method for calculating the phenotypic traits of the maize canopy in three-dimensional (3D) space was proposed, focusing on the problems existing in traditional measurement methods in maize morphological structure research, such as their complex procedures and relatively large error margins. Specifically, the whole maize plant was first scanned with a FastSCAN hand-held scanner to obtain 3D point cloud data for maize. Subsequently, the raw point clouds were simplified by the grid method, and the effect of noise on the quality of the point clouds in maize canopies was further denoised by bilateral filtering. In the last step, the 3D structure of the maize canopy was reconstructed. In accordance with the 3D reconstruction of the maize canopy, the phenotypic traits of the maize canopy, such as plant height, stem diameter and canopy breadth, were calculated by means of a fitting sphere and a fitting cylinder. Thereafter, multiple regression analysis was carried out, focusing on the calculated data and the actual measured data to verify the accuracy of the calculation method proposed in this study. The corresponding results showed that the calculated values of plant height, stem diameter and plant width based on 3D scanning were highly correlated with the actual measured data, and the determinant coefficients R2 were 0.9807, 0.8907 and 0.9562, respectively. In summary, the method proposed in this study can accurately measure the phenotypic traits of maize. Significantly, these research findings provide technical support for further research on the phenotypic traits of other crops and on variety breeding.http://www.mdpi.com/1424-8220/19/5/1201maize3D point cloudpre-processingphenotypic traitscalculation method |
| spellingShingle | Xiaodan Ma Kexin Zhu Haiou Guan Jiarui Feng Song Yu Gang Liu Calculation Method for Phenotypic Traits Based on the 3D Reconstruction of Maize Canopies Sensors maize 3D point cloud pre-processing phenotypic traits calculation method |
| title | Calculation Method for Phenotypic Traits Based on the 3D Reconstruction of Maize Canopies |
| title_full | Calculation Method for Phenotypic Traits Based on the 3D Reconstruction of Maize Canopies |
| title_fullStr | Calculation Method for Phenotypic Traits Based on the 3D Reconstruction of Maize Canopies |
| title_full_unstemmed | Calculation Method for Phenotypic Traits Based on the 3D Reconstruction of Maize Canopies |
| title_short | Calculation Method for Phenotypic Traits Based on the 3D Reconstruction of Maize Canopies |
| title_sort | calculation method for phenotypic traits based on the 3d reconstruction of maize canopies |
| topic | maize 3D point cloud pre-processing phenotypic traits calculation method |
| url | http://www.mdpi.com/1424-8220/19/5/1201 |
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