Predicting within-field grain protein content at scale using agronomic and remote sensing variables, and machine learning
Crossref DOI link: https://doi.org/10.1007/s11119-025-10267-9
Published Online: 2025-08-12
Published Print: 2025-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Tilse, Mikaela J. https://orcid.org/0000-0002-0613-6078
Bishop, Thomas F. A.
Filippi, Patrick
Funding for this research was provided by:
University of Sydney
Text and Data Mining valid from 2025-08-12
Version of Record valid from 2025-08-12
Article History
Accepted: 28 June 2025
First Online: 12 August 2025
Declarations
:
: The authors declare that they have no conflict of interest.