您好，欢迎访问北京市农林科学院 机构知识库！
北京市农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Multiscale phenotyping of grain crops based on three-dimensional models: A comprehensive review of trait detection

文献类型： 外文期刊

作者： Qi, Jiangtao 1 ; Gao, Fangfang 1 ; Wang, Yang 1 ; Zhang, Weirong 1 ; Yang, Sisi 5 ; Qi, Kangkang 6 ; Zhang, Ruirui 7 ;

作者机构： 1.Jilin Univ, Key Lab Bion Engn, Minist Educ, Changchun 130022, Peoples R China

2.Jilin Univ, Coll Biol & Agr Engn, Changchun 130022, Peoples R China

3.Jilin Univ, Weihai Inst Bion, Weihai 264402, Peoples R China

4.Jilin Univ, Jilin Prov Key Lab Smart Agr Equipment & Technol, Changchun 130022, Peoples R China

5.Tech Informat Jilin, Dept Sci & Technol Jilin, Changchun, Peoples R China

6.Shandong Acad Agr Sci, Inst Agr Informat & Econ, Jinan, Shandong, Peoples R China

7.Beijing Acad Agr & Forestry Sci, Res Ctr Intelligent Equipment, Beijing 100097, Peoples R China

关键词： Multi-scale phenotyping; Grain crop; Three-dimensional models; Platform; Sensor

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：8.9； 五年影响因子：9.3 ）

ISSN： 0168-1699

年卷期： 2025 年 237 卷

页码：

收录情况： SCI

摘要： Crop phenotyping is a reliable method for achieving crop breeding improvement, which can provide information for effective agricultural management and crop variety identification. Due to the significant differences in phenotypic characteristics of crops at the population, individual, and organ levels, it is still challenging to quickly and accurately complete large-scale crop phenotyping. Increasingly, phenotyping systems based on threedimensional (3D) models have been continuously developed, making automated, high-precision data collection and fine-grained trait measurement possible. A review is performed to investigate and analyze the research work regarding multi-scale phenotyping of grain crops based on three-dimensional (3D) models. The focus is on traits that can evaluate the morphological changes of grain crops including maize, wheat, rice, soybean, and sorghum. Besides, the application of high-throughput phenotyping platforms, advanced sensor technologies, and artificial intelligence in phenotypic data processing is highlighted. New trends in the complex interaction of gene-environment-phenotype are revealed. Finally, research progress, major challenges and future prospects were discussed, hoping to provide a certain perspective for researchers and researchers preparing to enter this field.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：北京市农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台