An Illumination Invariant Maize Canopy Structure Parameters Analysis Method Based on Hemispherical Photography
文献类型: 外文期刊
作者: Wang, Chuanyu 1 ; Guo, Xinyu 1 ; Du, Jianjun 1 ;
作者机构: 1.Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China
2.Beijing Key Lab Digital Plant, Beijing 100097, Peoples R China
关键词: Canopy structure; Hemispherical photography; Image fusion Image mapping; Variant illumination
期刊名称:COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE XI, CCTA 2017, PT II
ISSN: 1868-4238
年卷期: 2019 年 546 卷
页码:
收录情况: SCI
摘要: Hemispherical photography (HP) has already proven to be a powerful indirect method for measuring various components of canopy structure. In this paper an illumination invariant multiple exposure images fusion and mapping method was proposed in order to squash negative impact of variant illumination. Firstly, a series of multiple exposure maize canopy hemispherical images was captured under natural light condition. Secondly, the multiple photographs fused into a single radiance map whose pixel truncated in shadowed and lighted parts of original images expended to higher range. We were able to determine the irradiance value at each pixel, the pixel values are proportional to the true irradiance values in the scene. The pixel values, exposure times, and irradiance values form a least squares problem. Finally, we also employed a histogram equalisation method to map irradiance values to RGB color space. The comparison results show that canopy gaps fraction of HP acquired at 14:00 and 17:00 with threshold value 180 has difference of 15.4% percent, and our method reduces the difference up to 2.8%. Results of regression analysis shows that our method have a high consistency with canopy structure parameter direct surveying method, the correlation coefficient between two methods hit 0.94. The line slope was 1.463, our method measurement values were lower than direct surveying method. Our method expands the HP canopy structure parameters acquire timing, provides an automatic monitoring solution.
- 相关文献
作者其他论文 更多>>
-
LettuceP3D: A tool for analysing 3D phenotypes of individual lettuce plants
作者:Ge, Xiaofen;Guo, Xinyu;Ge, Xiaofen;Wu, Sheng;Wen, Weiliang;Xiao, Pengliang;Lu, Xianju;Liu, Haishen;Zhang, Minggang;Guo, Xinyu;Ge, Xiaofen;Wu, Sheng;Wen, Weiliang;Xiao, Pengliang;Lu, Xianju;Liu, Haishen;Zhang, Minggang;Guo, Xinyu;Wu, Sheng;Wen, Weiliang;Shen, Fei
关键词:Lettuce; Point cloud segmentation; Deep learning; Phenotypic analysis algorithm
-
3D time-series phenotyping of lettuce in greenhouses
作者:Ma, Hanyu;Wen, Weiliang;Gou, Wenbo;Fan, Jiangchuan;Gu, Shenghao;Guo, Xinyu;Ma, Hanyu;Wen, Weiliang;Gou, Wenbo;Lu, Xianju;Fan, Jiangchuan;Zhang, Minggang;Liang, Yuqiang;Gu, Shenghao;Guo, Xinyu
关键词:Time-series; 3D phenotyping; Rail-driven phenotyping platform; Lettuce; Greenhouse
-
Comprehensive review on 3D point cloud segmentation in plants
作者:Song, Hongli;Wen, Weiliang;Wu, Sheng;Guo, Xinyu;Song, Hongli;Wen, Weiliang;Wu, Sheng;Guo, Xinyu;Song, Hongli
关键词:Plant; Three-dimensional; Point cloud; Segmentation; Multi-scale; Deep learning
-
Revolutionizing Crop Breeding: Next-Generation Artificial Intelligence and Big Data-Driven Intelligent Design
作者:Zhang, Ying;Guo, Xinyu;Zhao, Chunjiang;Huang, Guanmin;Lu, Xianju;Wang, Yanru;Wang, Chuanyu;Zhang, Ying;Guo, Xinyu;Zhao, Chunjiang;Huang, Guanmin;Lu, Xianju;Wang, Yanru;Wang, Chuanyu;Zhang, Ying;Guo, Xinyu;Zhao, Chunjiang;Huang, Guanmin;Lu, Xianju;Wang, Yanru;Wang, Chuanyu;Zhao, Yanxin
关键词:Crop breeding; Next-generation artificial intelligence; Multiomics big data; Intelligent design breeding
-
Three-Dimensional Time-Series Monitoring of Maize Canopy Structure Using Rail-Driven Plant Phenotyping Platform in Field
作者:Ma, Hanyu;Zhang, Dongsheng;Wen, Weiliang;Fan, Jiangchuan;Gu, Shenghao;Guo, Xinyu;Wen, Weiliang;Gou, Wenbo;Liang, Yuqiang;Zhang, Minggang;Fan, Jiangchuan;Gu, Shenghao;Guo, Xinyu
关键词:maize canopy; time-series phenotype; 3D point cloud; plot segmentation; marginal effect
-
Water phase distribution and its dependence on internal structure in soaking maize kernels: a study using low-field nuclear magnetic resonance and X-ray micro-computed tomography
作者:Wang, Baiyan;Zhao, Chunjiang;Wang, Baiyan;Gu, Shenghao;Wang, Juan;Wang, Guangtao;Guo, Xinyu;Zhao, Chunjiang
关键词:phenotyping; hydration; water absorption; seed emergence; kernel moisture
-
Analysis of stomatal characteristics of maize hybrids and their parental inbred lines during critical reproductive periods
作者:Zhang, Changyu;Jin, Yu;Wang, Jinglu;Zhang, Ying;Lu, Xianju;Guo, Xinyu;Zhang, Changyu;Jin, Yu;Wang, Jinglu;Zhang, Ying;Lu, Xianju;Guo, Xinyu;Zhao, Yanxin;Song, Wei
关键词:maize; hybrids; stomatal phenotypes; high-throughput acquisition; deep learning



