Crop canopy volume weighted by color parameters from UAV-based RGB imagery to estimate above-ground biomass of potatoes
Yang Liu(Ministry of Agriculture and Rural Affairs), Haikuan Feng(National Engineering Research Center for Information Technology in Agriculture), Guijun Yang(National Engineering Research Center for Information Technology in Agriculture), Jibo Yue(Harbin Medical University), Jiejie Fan(National Engineering Research Center for Information Technology in Agriculture), Yiguang Fan(Ministry of Agriculture and Rural Affairs), Yanpeng Ma(Ministry of Agriculture and Rural Affairs), Wanxue Zhu(University of Göttingen), Riqiang Chen(Ministry of Agriculture and Rural Affairs), Mingbo Bian(Ministry of Agriculture and Rural Affairs), Fuqin Yang(Henan University of Engineering)
Cited by 48
Related Papers
Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
|Frontiers in Plant Science|2017|736
Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices
|ISPRS Journal of Photogrammetry and Remote Sensing|2019|408
A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform
|Plant Science|2018|381