Hyperspectral imaging-based classification of rice leaf blast severity over multiple growth stages

BACKGROUND: Rice blast, which is prevalent worldwide, represents a serious threat to harvested crop yield and quality. Hyperspectral imaging, an emerging technology used in plant disease research, is a stable, repeatable method for disease grading. Current methods for assessing disease severity have...

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Detalles Bibliográficos
Autores principales: Zhang, Guosheng, Xu, Tongyu, Tian, Youwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675130/
https://www.ncbi.nlm.nih.gov/pubmed/36403061
http://dx.doi.org/10.1186/s13007-022-00955-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675130/
https://www.ncbi.nlm.nih.gov/pubmed/36403061
http://dx.doi.org/10.1186/s13007-022-00955-2

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