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Maize yield forecasts for Sub-Saharan Africa using Earth Observation data and machine learning
Donghoon Lee, Frank Davenport, Shraddhanand Shukla, Greg Husak, Chris Funk, Laura Harrison, Amy McNally, James Rowland, Michael Budde, James Verdin

Maize yield forecasts for Sub-Saharan Africa using Earth Observation data and machine learning

Aerospace & Aviation Published 2026 Verification Pending
Indexed from repository: NASA Technical Reports Server (ntrs.nasa.gov)

Document Information

Document Title Maize yield forecasts for Sub-Saharan Africa using Earth Observation data and machine learning
Author / Organization Donghoon Lee, Frank Davenport, Shraddhanand Shukla, Greg Husak, Chris Funk, Laura Harrison, Amy McNally, James Rowland, Michael Budde, James Verdin
Subject & Discipline REPRINT
Categories Aerospace & Aviation
Publication Year 2026
License / Rights Public Domain / NASA STI Open Access
Resource Verification Listed PDF (Verification Pending)
Original Host Website NASA Technical Reports Server (ntrs.nasa.gov)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-44176
Original Source Link Visit Source Page on ntrs.nasa.gov »