Experimental data manipulations to assess performance of hyperspectral classification models of crop seeds and other objects

BACKGROUND: Optical sensing solutions are being developed and adopted to classify a wide range of biological objects, including crop seeds. Performance assessment of optical classification models remains both a priority and a challenge. METHODS: As training data, we acquired hyperspectral imaging da...

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Detalles Bibliográficos
Autores principales: Nansen, Christian, Imtiaz, Mohammad S., Mesgaran, Mohsen B., Lee, Hyoseok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164469/
https://www.ncbi.nlm.nih.gov/pubmed/35658997
http://dx.doi.org/10.1186/s13007-022-00912-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164469/
https://www.ncbi.nlm.nih.gov/pubmed/35658997
http://dx.doi.org/10.1186/s13007-022-00912-z

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