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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Koushik Nagasubramanian, Sarah Jones, Soumik Sarkar, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: BMC 2018-10-01
Saila:Plant Methods
Gaiak:
Charcoal rot
Soybean disease
Precision agriculture
Band selection
Genetic algorithm
Support vector machines
Sarrera elektronikoa:http://link.springer.com/article/10.1186/s13007-018-0349-9
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