Art

J-GLOBAL ID：202002264489264002   Reference number：20A1320977

Cotton pests classification in field-based images using deep residual networks

深層残差ネットワークを用いた圃場ベース画像におけるワタ害虫分類【JST・京大機械翻訳】

Author (4)： Alves Adao Nunes (Program in Mechatronic Systems, University of Brasilia, Brasilia, DF 70910-900, Brazil) ,  Souza Witenberg S.R. (Program in Mechatronic Systems, University of Brasilia, Brasilia, DF 70910-900, Brazil) ,  Borges Dibio Leandro (Program in Mechatronic Systems, University of Brasilia, Brasilia, DF 70910-900, Brazil) ,  Borges Dibio Leandro (Department of Computer Science, University of Brasilia, Brasilia, DF 70910-900, Brazil)
Material： Computers and Electronics in Agriculture  (Comput Electron Agric)
Volume： 174  Page： Null  Publication year： 2020 
JST Material Number： T0337A  ISSN： 0168-1699  Document type： Article
Article type： 原著論文  Country of issue： Netherlands (NLD)  Language： ENGLISH (EN)

Abstract/Point： Pests in agriculture are a maj...

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Thesaurus term： Learning ,  *network ,  Agriculture ,  *noxious insect ,  crop (agriculture) ,  *residual ,  deep layer ,  deep learning ,  convolutional neuralnetwork ,  industry

Author keywords (3)： Cotton pests ,  Field-images pest classification ,  Residual deep learning

JST classification (2)： Textile plants(=fiber plants)  (FC03077U) ,  Plant damage caused by insects,mites  (FC04072U)

Terms in the title (6)： 深層 ,  残差 ,  圃場 ,  ワタ ,  害虫 ,  分類