Bridging literature and models: a workflow for creating agricultural datasets for model application using AI
Year: 2025
Type: article
Abstract: Agricultural simulation models can provide insights into complex crop-soil interactions, potentially informing decisions around sustainable cropping system management. However, their use is limited by insufficient datasets for model testing.Published research describing experiments and presenting results are a valuable source of information for model development and calibration.
Authors: Chen, Xinxin, Leroy, Benjamin, White, Jeffrey W., Vogel, Hans-Jörg, Hoogenboom, Gerrit, Asseng, Senthold, Ewert, Frank, Webber, Heidi
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: green
Funder: Deutsche Forschungsgemeinschaft
OpenAlex ID: W7085196617
FWCI:
Cites:
Cited by:
Related to: