@InProceedings{SantosRiedFern:2016:DeSiVi,
               author = "Santos, Marcos Roberto dos and Rieder, Rafael and Fernandes, 
                         Jos{\'e} Maur{\'{\i}}cio Cunha",
          affiliation = "{Universidade de Passo Fundo} and {Universidade de Passo Fundo} 
                         and {Universidade de Passo Fundo}",
                title = "Desenvolvimento de um Sistema de Vis{\~a}o Computacional para 
                         Fenotipagem de Alta Precis{\~a}o",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "{\'{\i}}ndices de vegetac{\c{c}}{\~a}o, processamento de 
                         imagens, trigo, vis{\~a}o computacional.",
             abstract = "The use of computer techniques in order to obtain and analyze 
                         plant phenotype information may be useful during the 
                         interpretation of plant morphological, physiological and 
                         behavioral changes along time. In this context, computer vision 
                         and image processing techniques can be used to capture data 
                         frequently and accurately, and evaluate the characteristics, for 
                         example, vegetation indexes. With this in mind, this paper 
                         presents the prototype of a system that provides a method for 
                         collecting images and an application for processing, extraction 
                         and information visualization. The initial experiment considered 
                         the analysis of the wheat crop, their genome variances and the 
                         agronomic treatment received during the plant growth. Our expected 
                         results tend to create an integrated solution, combining hardware 
                         and software, to measure the productivity of a wheat cultivar 
                         through image analysis.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "pt",
                  ibi = "8JMKD3MGPAW/3M92DDH",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M92DDH",
           targetfile = "2016_sibgrapi_WIP_DosSantos_Fernandes_Rieder.pdf",
        urlaccessdate = "2024, May 03"
}