A comparison of ImageJ and machine learning based image analysis methods to measure cassava bacterial blight disease severity

BACKGROUND: Methods to accurately quantify disease severity are fundamental to plant pathogen interaction studies. Commonly used methods include visual scoring of disease symptoms, tracking pathogen growth in planta over time, and various assays that detect plant defense responses. Several image-bas...

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Detalles Bibliográficos
Autores principales: Elliott, Kiona, Berry, Jeffrey C., Kim, Hobin, Bart, Rebecca S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210806/
https://www.ncbi.nlm.nih.gov/pubmed/35729628
http://dx.doi.org/10.1186/s13007-022-00906-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210806/
https://www.ncbi.nlm.nih.gov/pubmed/35729628
http://dx.doi.org/10.1186/s13007-022-00906-x

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