Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops

BACKGROUND: Assessment of seed germination is an essential task for seed researchers to measure the quality and performance of seeds. Usually, seed assessments are done manually, which is a cumbersome, time consuming and error-prone process. Classical image analyses methods are not well suited for l...

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Detalles Bibliográficos
Autores principales: Genze, Nikita, Bharti, Richa, Grieb, Michael, Schultheiss, Sebastian J., Grimm, Dominik G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7754596/
https://www.ncbi.nlm.nih.gov/pubmed/33353559
http://dx.doi.org/10.1186/s13007-020-00699-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7754596/
https://www.ncbi.nlm.nih.gov/pubmed/33353559
http://dx.doi.org/10.1186/s13007-020-00699-x

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