Work

Soybean prediction using computationally efficient Bayesian spatial regression models and satellite imagery

Year: 2024

Type: article

Source: Agronomy Journal

DOI: 10.1002/agj2.21670

Authors: Richard J. Fischer, Hossein Moradi Rekabdarkolaee, Deepak R. Joshi, David E. Clay, Sharon A. Clay

Institutions: South Dakota State University, Arkansas State University, Kansas State University

Language: English

Topic: Remote Sensing in Agriculture

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: closed

Funder: National Science Foundation

Awards: FW-HTF-RL: Testing a Responsible Innovation Approach for Integrating Precision Agriculture (PA) Technologies with Future Farm Workers and W ork, FW-HTF-RL: Testing a Responsible Innovation Approach for Integrating Precision Agriculture (PA) Technologies with Future Farm Workers and W ork

OpenAlex ID: W4402189696

FWCI: 1.36

Cites: 29

Cited by: 5

Related to: 10