Plant disease identification using explainable 3D deep learning on hyperspectral images

BACKGROUND: Hyperspectral imaging is emerging as a promising approach for plant disease identification. The large and possibly redundant information contained in hyperspectral data cubes makes deep learning based identification of plant diseases a natural fit. Here, we deploy a novel 3D deep convolu...

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Detalles Bibliográficos
Autores principales: Nagasubramanian, Koushik, Jones, Sarah, Singh, Asheesh K., Sarkar, Soumik, Singh, Arti, Ganapathysubramanian, Baskar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6702735/
https://www.ncbi.nlm.nih.gov/pubmed/31452674
http://dx.doi.org/10.1186/s13007-019-0479-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6702735/
https://www.ncbi.nlm.nih.gov/pubmed/31452674
http://dx.doi.org/10.1186/s13007-019-0479-8

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