Work

Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach

Year: 2021

Type: article

Source: Remote Sensing of Environment

DOI: 10.1016/j.rse.2021.112408

Authors: Yuchi Ma, Zhou Zhang, Yanghui Kang, Mutlu Özdoğan

Institutions: University of Wisconsin–Madison, Agricultural Research Service, United States Department of Agriculture

Language: English

Topic: Remote Sensing in Agriculture

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: bronze

Funders: U.S. Department of Agriculture, Wisconsin Alumni Research Foundation, National Institute of Food and Agriculture, Office of the Vice Chancellor for Research and Graduate Education, University of Wisconsin-Madison

Award: G4480942137

OpenAlex ID: W3146049777

FWCI: 21.2

Cites: 73

Cited by: 309

Related to: 10