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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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| Pubblicato in: | Plant Methods |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6702735/ https://ncbi.nlm.nih.gov/pubmed/31452674 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13007-019-0479-8 |
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