Using climate variability for regional crop yield prediction with machine learning: a case study on sunflower, corn, and wheat in the Argentine pampas
Crossref DOI link: https://doi.org/10.1007/s00704-025-05943-9
Published Online: 2025-12-17
Published Print: 2026-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Maisonnave, Thomas
Hurtado, Santiago I.
Aldeco, Laura S.
Ricetti, Lorenzo
Easdale, Marcos H.
Text and Data Mining valid from 2025-12-17
Version of Record valid from 2025-12-17
Article History
Received: 7 May 2025
Accepted: 25 November 2025
First Online: 17 December 2025
Declarations
:
: The authors declare no competing interests.