Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems

Abstract 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...

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Main Authors: Koushik Nagasubramanian, Sarah Jones, Soumik Sarkar, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian
Formato: Artigo
Idioma:Inglês
Publicado: BMC 2018-10-01
Series:Plant Methods
Assuntos:
Charcoal rot
Soybean disease
Precision agriculture
Band selection
Genetic algorithm
Support vector machines
Acceso en liña:http://link.springer.com/article/10.1186/s13007-018-0349-9
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