Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system

Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system

Abstract Background Aboveground biomass (AGB) is a widely used agronomic parameter for characterizing crop growth status and predicting grain yield. The rapid and accurate estimation of AGB in a non-destructive way is useful for making informed decisions on precision crop management. Previous studie...

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Bibliographic Details
Main Authors: Ning Lu, Jie Zhou, Zixu Han, Dong Li, Qiang Cao, Xia Yao, Yongchao Tian, Yan Zhu, Weixing Cao, Tao Cheng
Format: Article
Language:English
Published: BMC 2019-02-01
Series:Plant Methods
Subjects:
Aboveground biomass
UAV
Canopy height
Spectral vegetation index
RGB camera
Online Access:http://link.springer.com/article/10.1186/s13007-019-0402-3

Internet

http://link.springer.com/article/10.1186/s13007-019-0402-3

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