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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Vydáno v:Plant Methods
Hlavní autoři: Nagasubramanian, Koushik, Jones, Sarah, Sarkar, Soumik, Singh, Asheesh K., Singh, Arti, Ganapathysubramanian, Baskar
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2018
Témata:
Research
On-line přístup: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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