Leaf epidermis images for robust identification of plants.
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| Title: | Leaf epidermis images for robust identification of plants. |
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| Authors: | da Silva NR; Institute of Mathematics and Computer Science, University of São Paulo, USP, Avenida Trabalhador são-carlense, 400, 13566-590 São Carlos, São Paulo, Brazil.; Scientific Computing Group, São Carlos Institute of Physics, University of São Paulo, PO Box 369, 13560-970, São Carlos, SP, Brazil., Oliveira MWDS; Institute of Mathematics and Computer Science, University of São Paulo, USP, Avenida Trabalhador são-carlense, 400, 13566-590 São Carlos, São Paulo, Brazil.; Scientific Computing Group, São Carlos Institute of Physics, University of São Paulo, PO Box 369, 13560-970, São Carlos, SP, Brazil., Filho HAA; Scientific Computing Group, São Carlos Institute of Physics, University of São Paulo, PO Box 369, 13560-970, São Carlos, SP, Brazil., Pinheiro LFS; Department of Biological Sciences, Faculty of Sciences and Languages, Univ Estadual Paulista, UNESP. Av. Dom Antônio, 2100, 19806-900, Assis, São Paulo, Brazil., Rossatto DR; Department of Applied Biology, Faculty of Agriculture and Veterinary Sciences, Univ Estadual Paulista, UNESP, Via de Acesso Prof. Paulo Donatto Castellane S/N. 14884-900, Jaboticabal, São Paulo, Brazil., Kolb RM; Department of Biological Sciences, Faculty of Sciences and Languages, Univ Estadual Paulista, UNESP. Av. Dom Antônio, 2100, 19806-900, Assis, São Paulo, Brazil., Bruno OM; Institute of Mathematics and Computer Science, University of São Paulo, USP, Avenida Trabalhador são-carlense, 400, 13566-590 São Carlos, São Paulo, Brazil.; Scientific Computing Group, São Carlos Institute of Physics, University of São Paulo, PO Box 369, 13560-970, São Carlos, SP, Brazil. |
| Source: | Scientific reports [Sci Rep] 2016 May 24; Vol. 6, pp. 25994. Date of Electronic Publication: 2016 May 24. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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