Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data
Yang Liu(Ministry of Agriculture and Rural Affairs), Guijun Yang(First People's Hospital of Chongqing), Jibo Yue(Henan Agricultural University), Yiguang Fan(Ministry of Agriculture and Rural Affairs), Yanpeng Ma(Ministry of Agriculture and Rural Affairs), Haikuan Feng(Ministry of Agriculture and Rural Affairs), Jingbo Li(Ministry of Agriculture and Rural Affairs), Bo Xu(Ministry of Agriculture and Rural Affairs), Riqiang Chen(Ministry of Agriculture and Rural Affairs), Mingbo Bian(Ministry of Agriculture and Rural Affairs), Xiuliang Jin(National Academy of Agricultural Sciences)
Cited by 65
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