Improving UAV hyperspectral monitoring accuracy of summer maize soil moisture content with an ensemble learning model fusing crop physiological spectral responses
Hao Liu(Northwest A&F University), Fucang Zhang(Northwest A&F University), Hongsuo Geng(North West Agriculture and Forestry University), Zhitao Zhang(Chinese Academy of Sciences), Yong Wang(Shandong Agricultural University), Junying Chen(North West Agriculture and Forestry University), Liangsheng Shi(Wuhan University), Xizhen Yang(Northwest A&F University), Youzhen Xiang(Xinjiang Institute of Engineering), Ning Yang(First Affiliated Hospital of Hebei Medical University), Ruiqi Du(North West Agriculture and Forestry University)
Cited by 18
Related Papers
Advances in Understanding How Heavy Metal Pollution Triggers Gastric Cancer
|BioMed Research International|2016|171
Recent Advances in Biotransformation of Saponins
|Molecules|2019|146
The effect of climate change on the richness distribution pattern of oaks (Quercus L.) in China
|The Science of The Total Environment|2020|146
Maize plant density affects yield, growth and source-sink relationship of crops in maize/peanut intercropping
|Field Crops Research|2020|144
Diagnosis of winter-wheat water stress based on UAV-borne multispectral image texture and vegetation indices
|Agricultural Water Management|2021|106