A rapid rice blast detection and identification method based on crop disease spores' diffraction fingerprint texture.

Yang, Ning; Yu, Junjie; Wang, Aiying; Tang, Jian; Zhang, Rongbiao; Xie, Liangliang; Shu, Fangyu; Kwabena, Oppong Paul

Yang, Ning; Yu, Junjie; Wang, Aiying; Tang, Jian; Zhang, Rongbiao; Xie, Liangliang; Shu, Fangyu; Kwabena, Oppong Paul.

Afiliação

Yang N; School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, China.
Yu J; School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, China.
Wang A; State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China.
Tang J; State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China.
Zhang R; School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, China.
Xie L; School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, China.
Shu F; Jingjiang College, Jiangsu University, Zhenjiang, China.
Kwabena OP; School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, China.

J Sci Food Agric ; 100(9): 3608-3621, 2020 Jul.

Article em En | MEDLINE | ID: mdl-32170759

Assuntos

Microscopia/métodos; Oryza/microbiologia; Doenças das Plantas/microbiologia; Esporos/isolamento & purificação; China; Folhas de Planta/microbiologia; Esporos/classificação; Esporos/citologia

Palavras-chave

convolutional neural network; fringe dispersion (FD); fringe intensity contrast (FIC); lensless diffraction fingerprint recognition system; rice blast early warning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças das Plantas / Oryza / Esporos / Microscopia Tipo de estudo: Diagnostic_studies / Evaluation_studies / Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: J Sci Food Agric Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

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