Estimating potato above-ground biomass by using integrated unmanned aerial system-based optical, structural, and textural canopy measurements

Yang Liu(Beijing Institute of Technology), 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), Xiaoyu Song(Chinese Academy of Sciences), Mingbo Bian(Ministry of Agriculture and Rural Affairs), Xiuliang Jin(National Academy of Agricultural Sciences)
Computers and Electronics in Agriculture
September 15, 2023
10.1016/j.compag.2023.108229
Cited by 86

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
Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models
|Remote Sensing|2017|358
A Comparison of Regression Techniques for Estimation of Above-Ground Winter Wheat Biomass Using Near-Surface Spectroscopy
|Remote Sensing|2018|198