Estimation of potato above-ground biomass based on unmanned aerial vehicle red-green-blue images with different texture features and crop height
Yang Liu(Beijing Institute of Technology), Guijun Yang(First People's Hospital of Chongqing), Zhenhai Li(Shandong University of Science and Technology), Xiuliang Jin(National Academy of Agricultural Sciences), Jibo Yue(Henan Agricultural University), Haikuan Feng(Ministry of Agriculture and Rural Affairs)
Cited by 85
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