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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6169113/ https://www.ncbi.nlm.nih.gov/pubmed/30305840 http://dx.doi.org/10.1186/s13007-018-0349-9 |