Yield prediction by machine learning from UAS-based mulit-sensor data fusion in soybean

BACKGROUND: Nowadays, automated phenotyping of plants is essential for precise and cost-effective improvement in the efficiency of crop genetics. In recent years, machine learning (ML) techniques have shown great success in the classification and modelling of crop parameters. In this research, we co...

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Detalles Bibliográficos
Autores principales: Herrero-Huerta, Monica, Rodriguez-Gonzalvez, Pablo, Rainey, Katy M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268475/
https://www.ncbi.nlm.nih.gov/pubmed/32514286
http://dx.doi.org/10.1186/s13007-020-00620-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268475/
https://www.ncbi.nlm.nih.gov/pubmed/32514286
http://dx.doi.org/10.1186/s13007-020-00620-6

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