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Frontiers in Plant Science
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June 15, 2026
Remote evaluation of rice nitrogen utilization efficiency using chlorophyll-related spectral indices derived from unmanned aerial vehicle imagery
Xiaojuan Liu, Shenghui Fang, Fangting Li, et al.
Plant Phenomics (Washington, D.C.)
|
April 27, 2026
The role of a novel normalized dynamically adjusted vegetation index (NDAVI) based on remotely sensed absorption coefficient for estimating crop fAPAR: a case study of rice (<i>Oryza sativa</i> L.)
Shenghui Fang, Yuanjin Li, Mengyu Ge, et al.
Frontiers in Plant Science
|
December 20, 2021
Identification of High Nitrogen Use Efficiency Phenotype in Rice (<i>Oryza sativa</i> L.<i>)</i> Through Entire Growth Duration by Unmanned Aerial Vehicle Multispectral Imagery
Ting Liang, Bo Duan, Xiaoyun Luo, et al.
Plant Phenomics (Washington, D.C.)
|
July 1, 2026
VE-MLM: A variable endmember-based multilinear mixing framework for crop FAPAR estimation using UAV multispectral imagery
Ningge Yuan, Yadong Liu, Chaoran Zhang, et al.
Plant Phenomics (Washington, D.C.)
|
June 5, 2023
Estimation of Rice Aboveground Biomass by UAV Imagery with Photosynthetic Accumulation Models
Kaili Yang, Jiacai Mo, Shanjun Luo, et al.
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Search research articles
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Showing results (11-20 of 15) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 15 results.
Frontiers in Plant Science
|
June 15, 2026
Remote evaluation of rice nitrogen utilization efficiency using chlorophyll-related spectral indices derived from unmanned aerial vehicle imagery
Xiaojuan Liu, Shenghui Fang, Fangting Li, et al.
Plant Phenomics (Washington, D.C.)
|
April 27, 2026
The role of a novel normalized dynamically adjusted vegetation index (NDAVI) based on remotely sensed absorption coefficient for estimating crop fAPAR: a case study of rice (<i>Oryza sativa</i> L.)
Shenghui Fang, Yuanjin Li, Mengyu Ge, et al.
Frontiers in Plant Science
|
December 20, 2021
Identification of High Nitrogen Use Efficiency Phenotype in Rice (<i>Oryza sativa</i> L.<i>)</i> Through Entire Growth Duration by Unmanned Aerial Vehicle Multispectral Imagery
Ting Liang, Bo Duan, Xiaoyun Luo, et al.
Plant Phenomics (Washington, D.C.)
|
July 1, 2026
VE-MLM: A variable endmember-based multilinear mixing framework for crop FAPAR estimation using UAV multispectral imagery
Ningge Yuan, Yadong Liu, Chaoran Zhang, et al.
Plant Phenomics (Washington, D.C.)
|
June 5, 2023
Estimation of Rice Aboveground Biomass by UAV Imagery with Photosynthetic Accumulation Models
Kaili Yang, Jiacai Mo, Shanjun Luo, et al.
Page
of 2