Investigation on Data Fusion of Multisource Spectral Data for Rice Leaf Diseases Identification Using Machine Learning Methods.

Feng, Lei; Wu, Baohua; Zhu, Susu; Wang, Junmin; Su, Zhenzhu; Liu, Fei; He, Yong; Zhang, Chu

Feng, Lei; Wu, Baohua; Zhu, Susu; Wang, Junmin; Su, Zhenzhu; Liu, Fei; He, Yong; Zhang, Chu.

Afiliação

Feng L; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Wu B; Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou, China.
Zhu S; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Wang J; Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou, China.
Su Z; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Liu F; Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou, China.
He Y; Institute of Crop Science and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Zhang C; State Key Laboratory for Rice Biology, Institute of Biotechnology, Zhejiang University, Hangzhou, China.

Front Plant Sci ; 11: 577063, 2020.

Article em En | MEDLINE | ID: mdl-33240295

Palavras-chave

data fusion; hyperspectral imaging; laser-induced breakdown spectroscopy; mid-infrared spectroscopy; rice disease

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Plant Sci Ano de publicação: 2020 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google