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Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems
BACKGROUND: Charcoal rot is a fungal disease that thrives in warm dry conditions and affects the yield of soybeans and other important agronomic crops worldwide. There is a need for robust, automatic and consistent early detection and quantification of disease symptoms which are important in breedin...
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| Publicado no: | Plant Methods |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6169113/ https://ncbi.nlm.nih.gov/pubmed/30305840 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13007-018-0349-9 |
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