Standard Framework Construction of Technology and Equipment for Big Data in Crop Phenomics
文献类型: 外文期刊
作者: Wen, Weiliang 1 ; Gu, Shenghao 1 ; Zhang, Ying 1 ; Yang, Wanneng 3 ; Guo, Xinyu 1 ;
作者机构: 1.Beijing Acad Agr & Forestry Sci, Informat Technol Res Ctr, Beijing 100097, Peoples R China
2.Natl Engn Res Ctr Informat Technol Agr, Beijing Key Lab Digital Plant, Beijing 100097, Peoples R China
3.Huazhong Agr Univ, Natl Key Lab Crop Genet Improvement, Wuhan 430070, Peoples R China
4.Huazhong Agr Univ, Natl Ctr Plant Gene Res, Wuhan 430070, Peoples R China
关键词: Crop phenomics; Big data; Phenotyping technology and equipment; Standard framework; Industrial mapping
期刊名称:ENGINEERING ( 影响因子:11.6; 五年影响因子:13.1 )
ISSN: 2095-8099
年卷期: 2024 年 42 卷
页码:
收录情况: SCI
摘要: Crop phenomics has rapidly progressed in recent years due to the growing need for crop functional genomics, digital breeding, and smart cultivation. Despite this advancement, the lack of standards for the creation and usage of crop phenomics technology and equipment has become a bottleneck, limiting the industry's high-quality development. This paper begins with an overview of the crop phenotyping industry and presents an industrial mapping of technology and equipment for big data in crop phenomics. It analyzes the necessity and current state of constructing a standard framework for crop phenotyping. Furthermore, this paper proposes the intended organizational structure and goals of the standard framework. It details the essentials of the standard framework in the research and development of hardware and equipment, data acquisition, and the storage and management of crop phenotyping data. Finally, it discusses promoting the construction and evaluation of the standard framework, aiming to provide ideas for developing a high-quality standard framework for crop phenotyping. (c) 2024 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
- 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



