High-throughput phenotyping for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data

BACKGROUND: Biomass accumulation as a growth indicator can be significant in achieving high and stable soybean yields. More robust genotypes have a better potential for exploiting available resources such as water or sunlight. Biomass data implemented as a new trait in soybean breeding programs coul...

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Detalles Bibliográficos
Autores principales: Ranđelović, Predrag, Đorđević, Vuk, Miladinović, Jegor, Prodanović, Slaven, Ćeran, Marina, Vollmann, Johann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463513/
https://www.ncbi.nlm.nih.gov/pubmed/37633921
http://dx.doi.org/10.1186/s13007-023-01054-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463513/
https://www.ncbi.nlm.nih.gov/pubmed/37633921
http://dx.doi.org/10.1186/s13007-023-01054-6

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