%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2016/08.12.14.49
%2 sid.inpe.br/sibgrapi/2016/08.12.14.49.58
%T Desenvolvimento de um Sistema de Visão Computacional para Fenotipagem de Alta Precisão
%D 2016
%A Santos, Marcos Roberto dos,
%A Rieder, Rafael,
%A Fernandes, José Maurício Cunha,
%@affiliation Universidade de Passo Fundo
%@affiliation Universidade de Passo Fundo
%@affiliation Universidade de Passo Fundo
%E Aliaga, Daniel G.,
%E Davis, Larry S.,
%E Farias, Ricardo C.,
%E Fernandes, Leandro A. F.,
%E Gibson, Stuart J.,
%E Giraldi, Gilson A.,
%E Gois, João Paulo,
%E Maciel, Anderson,
%E Menotti, David,
%E Miranda, Paulo A. V.,
%E Musse, Soraia,
%E Namikawa, Laercio,
%E Pamplona, Mauricio,
%E Papa, João Paulo,
%E Santos, Jefersson dos,
%E Schwartz, William Robson,
%E Thomaz, Carlos E.,
%B Conference on Graphics, Patterns and Images, 29 (SIBGRAPI)
%C São José dos Campos, SP, Brazil
%8 4-7 Oct. 2016
%I Sociedade Brasileira de Computação
%J Porto Alegre
%S Proceedings
%K índices de vegetacção, processamento de imagens, trigo, visão computacional.
%X 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.
%@language pt
%3 2016_sibgrapi_WIP_DosSantos_Fernandes_Rieder.pdf