Crossmark

Phenology-adaptive machine learning for early mapping of field-scale corn crop yield using fusion of Sentinel-2 satellite spectral imagery, and weather-based accumulated heat units

Crossref DOI link: https://doi.org/10.1007/s11119-026-10428-4

Published Online: 2026-08-24

Published Print: 2026-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Manimozhian, Arunachalam

Chandel, Abhilash K. https://orcid.org/0000-0002-3996-4443
Funding

Funding for this research was provided by:

National Institute of Food and Agriculture (2023-77039-294 41033, hatch projects VA-643 160181, VA-136412, VA-136438, and VA-136452; and faculty startup funds from Virginia Tech)
License Information

Text and Data Mining valid from 2026-08-24

Version of Record valid from 2026-08-24
More Information

Article History

Received: 19 January 2026

Accepted: 30 July 2026

First Online: 24 August 2026

Declarations

Competing interests: The authors declare no competing interests.

Consent for publication: Not applicable.

Ethics approval and consent to participate: Not applicable.

Document is current

Any future updates will be listed below