Estimation of Nitrogen Nutrition Status in Winter Wheat From Unmanned Aerial Vehicle Based Multi-Angular Multispectral Imagery

• Published in: Frontiers in plant science Vol. 10; p. 1601
• Main Authors: Lu, Ning, Wang, Wenhui, Zhang, Qiaofeng, Li, Dong, Yao, Xia, Tian, Yongchao, Zhu, Yan, Cao, Weixing, Baret, Fred, Liu, Shouyang, Cheng, Tao
• Format: Journal Article
• Language: English
• Published: Frontiers 06.12.2019; Frontiers Media S.A
• Subjects: Agricultural sciences; Life Sciences; multi-angular; nitrogen status; unmanned aerial vehicle; vegetation index; wheat; zenith angle; vegetation index; multi-angular; wheat; unmanned aerial vehicle; zenith angle; nitrogen status

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...