Work

Impacts of meteorological variables and machine learning algorithms on rice yield prediction in Korea

Year: 2023

Type: article

Source: International Journal of Biometeorology

DOI: 10.1007/s00484-023-02544-x

Authors: Subin Ha, Yong-Tak Kim, Eun-Soon Im, Jina Hur, Sera Jo, Yong-Seok Kim, Kyo‑Moon Shim

Institutions: Hong Kong University of Science and Technology, Rural Development Administration

Language: English

Topic: Climate change impacts on agriculture

Subfield: Ecology, Evolution, Behavior and Systematics

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Climate action

Open Access status: closed

Funder: Rural Development Administration

Award: G1807108014

OpenAlex ID: W4386413101

FWCI: 2.957

Cites: 58

Cited by: 12

Related to: 10