Estimation of Nitrogen Nutrition Status in Winter Wheat From Unmanned Aerial Vehicle Based Multi-Angular Multispectral Imagery
Rapid, non-destructive and accurate detection of crop N status is beneficial for optimized fertilizer applications and grain quality prediction in the context of precision crop management. Previous research on the remote estimation of crop N nutrition status was mostly conducted with ground-based sp...
Main Authors: | Ning Lu, Wenhui Wang, Qiaofeng Zhang, Dong Li, Xia Yao, Yongchao Tian, Yan Zhu, Weixing Cao, Fred Baret, Shouyang Liu, Tao Cheng |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2019-12-01
|
Series: | Frontiers in Plant Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fpls.2019.01601/full |
Similar Items
-
Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles
by: Baohua Yang, et al.
Published: (2019-10-01) -
Functional Data Analysis of Multi-Angular Hyperspectral Data on Vegetation
by: Sugianto, et al.
Published: (2012-04-01) -
Analysis and Evaluation of the Image Preprocessing Process of a Six-Band Multispectral Camera Mounted on an Unmanned Aerial Vehicle for Winter Wheat Monitoring
by: Jiale Jiang, et al.
Published: (2019-02-01) -
AAVI: A Novel Approach to Estimating Leaf Nitrogen Concentration in Rice From Unmanned Aerial Vehicle Multispectral Imagery at Early and Middle Growth Stages
by: Wenhui Wang, et al.
Published: (2021-01-01) -
Unmanned aerial vehicles
by: Vlado Jurić, et al.
Published: (2016-12-01)