The Transferability of Spectral Grain Yield Prediction in Wheat Breeding across Years and Trial Locations

Grain yield (GY) prediction based on non-destructive UAV-based spectral sensing could make screening of large field trials more efficient and objective. However, the transfer of models remains challenging, and is affected by location, year-dependent weather conditions and measurement dates. Therefor...

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Detalles Bibliográficos
Autores principales: Prey, Lukas, Ramgraber, Ludwig, Seidl-Schulz, Johannes, Hanemann, Anja, Noack, Patrick Ole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145428/
https://www.ncbi.nlm.nih.gov/pubmed/37112518
http://dx.doi.org/10.3390/s23084177

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145428/
https://www.ncbi.nlm.nih.gov/pubmed/37112518
http://dx.doi.org/10.3390/s23084177

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