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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Detalles Bibliográficos
Autores principales: Nagasubramanian, Koushik, Jones, Sarah, Sarkar, Soumik, Singh, Asheesh K., Singh, Arti, Ganapathysubramanian, Baskar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
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

Internet

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

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