期刊文献+

Time-Series Field Phenotyping of Soybean Growth Analysis by Combining Multimodal Deep Learning and Dynamic Modeling

原文传递
导出
摘要 The rate of soybean canopy establishment largely determines photoperiodic sensitivity,subsequently influencing yield potential.However,assessing the rate of soybean canopy development in large-scale field breeding trials is both laborious and time-consuming.High-throughput phenotyping methods based on unmanned aerial vehicle(UAV)systems can be used to monitor and quantitatively describe the development of soybean canopies for different genotypes.In this study,high-resolution and time-series raw data from field soybean populations were collected using UAVs.
出处 《Plant Phenomics》 SCIE EI CSCD 2024年第2期323-334,共12页 植物表型组学(英文)
基金 supported by the National Natural Science Foundation of China(grant no.U21A20215) Zhejiang Lab(grant no.2021PE0AC04) Hainan Yazhou Bay Seed Laboratory(B21HJ0101) the Natural Science Foundation of Jilin Province(20220101277JC).
作者简介 Address correspondence to:Xianzhong Feng,fengxianzhong@iga.ac.cn
  • 相关文献

参考文献5

二级参考文献19

共引文献123

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部