Z
Zhenhai Li
Researcher at Center for Information Technology
Publications - 122
Citations - 3973
Zhenhai Li is an academic researcher from Center for Information Technology. The author has contributed to research in topics: Biology & Leaf area index. The author has an hindex of 25, co-authored 95 publications receiving 2245 citations. Previous affiliations of Zhenhai Li include Newcastle University & Shanghai University.
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Journal ArticleDOI
Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
Guijun Yang,Jiangang Liu,Chunjiang Zhao,Zhenhong Li,Yanbo Huang,Yu Haiyang,Bo Xu,Xiaodong Yang,Dongmei Zhu,Xiaoyan Zhang,Ruyang Zhang,Haikuan Feng,Zhao Xiaoqing,Zhenhai Li,Heli Li,Hao Yang +15 more
TL;DR: The current status and perspectives on the topic of UAV-RSPs for field-based phenotyping were reviewed and can provide theoretical and technical support to promote the applications of Uav-R SPs for crop phenotypesing.
Journal ArticleDOI
A review of data assimilation of remote sensing and crop models
TL;DR: In this article, a detailed overview of the latest developments and applications of crop models, remote sensing techniques, and data assimilation methods in the growth status monitoring and yield estimation of crops is presented.
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Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
Liang Han,Liang Han,Liang Han,Guijun Yang,Huayang Dai,Bo Xu,Hao Yang,Haikuan Feng,Zhenhai Li,Xiaodong Yang +9 more
TL;DR: It is concluded that the combination of machine learning with UAV remote sensing is a promising alternative for estimating AGB and suggests that structural and spectral information can be considered simultaneously rather than separately when estimating biophysical crop parameters.
Journal ArticleDOI
Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models
TL;DR: The results suggest that crop height determined from the new UAV-based snapshot hyperspectral sensor can improve AGB estimation and is advantageous for mapping applications.
Journal ArticleDOI
Cyclic Mechanical Reinforcement of Integrin–Ligand Interactions
Fang Kong,Fang Kong,Zhenhai Li,Zhenhai Li,William M. Parks,William M. Parks,David W. Dumbauld,David W. Dumbauld,Andrés J. García,Andrés J. García,A. Paul Mould,Martin J. Humphries,Cheng Zhu,Cheng Zhu +13 more
TL;DR: A mechanical regulation of receptor-ligand interactions is revealed and a molecular mechanism for cell adhesion strengthening by cyclic forces is identified that remembers the history of force application and accumulates over repeated cycles, but does not require force to be sustained.