Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers

We investigated the feasibility and potentiality of presymptomatic detection of tobacco disease using hyperspectral imaging, combined with the variable selection method and machine-learning classifiers. Images from healthy and TMV-infected leaves with 2, 4, and 6 days post infection were acquired by...

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Detalles Bibliográficos
Autores principales: Zhu, Hongyan, Chu, Bingquan, Zhang, Chu, Liu, Fei, Jiang, Linjun, He, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482814/
https://www.ncbi.nlm.nih.gov/pubmed/28646177
http://dx.doi.org/10.1038/s41598-017-04501-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482814/
https://www.ncbi.nlm.nih.gov/pubmed/28646177
http://dx.doi.org/10.1038/s41598-017-04501-2

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