@InProceedings{PithanDuGaArBoThSa:2019:SeReHi,
               author = "Pithan, P{\^a}mela Aude and Ducati, Jorge Ricardo and Garrido, 
                         Lucas da Ressurrei{\c{c}}{\~a}o and Arruda, Diniz Carvalho de 
                         and Bortolotto, Virindiana Colet and Thum, Adriana Brill and 
                         Santos, Marcos Augusto Gomes dos",
          affiliation = "{Universidade Federal do Rio Grande do Sul (UFRGS)} and 
                         {Universidade Federal do Rio Grande do Sul (UFRGS)} and {Empresa 
                         Brasileira de Pesquisa Agropecu{\'a}ria (EMBRAPA)} and 
                         {Universidade Federal do Rio Grande do Sul (UFRGS)} and 
                         {Universidade Federal do Rio Grande do Sul (UFRGS)} and 
                         {Universidade Federal do Rio Grande do Sul (UFRGS)} and 
                         {Universidade Federal de Santa Maria (UFSM)}",
                title = "Sensoriamento remoto hiperespectral aplicado na 
                         discrimina{\c{c}}{\~a}o de doen{\c{c}}as f{\'u}ngicas da 
                         videira",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "3004--3007",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "espectrorradi{\^o}metria, doen{\c{c}}as f{\'u}ngicas, videiras, 
                         spectroradiometry, fungal diseases, vineyards.",
             abstract = "Os espectrorradi{\^o}metros s{\~a}o sensores hiperespectrais, 
                         que obt{\'e}m informa{\c{c}}{\~o}es sobre o comportamento 
                         espectral de alvos, como o comportamento espectral da folha. 
                         Ataques de pragas e doen{\c{c}}as modificam a reflect{\^a}ncia 
                         foliar em diversas regi{\~o}es espectrais. Este trabalho teve 
                         como objetivo identificar os comprimentos de onda que discriminam 
                         os tipos de doen{\c{c}}as f{\'u}ngicas em plantas de videiras. 
                         Avaliou-se plantas inoculadas com os pat{\'o}genos: Plasmopara 
                         viticola (m{\'{\i}}ldio), Uncinula necator (o{\'{\i}}dio), 
                         Ilyonectria macrodidyma (p{\'e}-preto) e Phaeoacremonium sp. 
                         (doen{\c{c}}a de Petri) e suas respectivas plantas testemunhas. 
                         Foram obtidas curvas espectrais m{\'e}dias normalizadas, 
                         posteriormente calculou-se os espectros-raz{\~a}o para 
                         redu{\c{c}}{\~a}o dos dados e identifica{\c{c}}{\~a}o dos 
                         comprimentos de onda. Analise discriminante can{\^o}nica foi 
                         utilizada para obter a acur{\'a}cia de classifica{\c{c}}{\~a}o. 
                         Os comprimentos de onda com potencial de separa{\c{c}}{\~a}o 
                         foram: 443; 496; 516; 573; 695; 1420; 1900; 2435nm. A 
                         discrimina{\c{c}}{\~a}o espectral das doen{\c{c}}as 
                         f{\'u}ngicas obteve acur{\'a}cia global de 94,3% de 
                         classifica{\c{c}}{\~a}o quando exclu{\'{\i}}das as testemunhas 
                         e, 85,7% quando inclu{\'{\i}}das. ABSTRACT: Spectroradiometers 
                         are hyperspectral sensors which obtain information about the 
                         spectral behavior of targets, such as the spectral behavior of 
                         plant leaves. Pests and diseases modify leaf reflectance in 
                         several spectral regions. The objective of this work was to 
                         identify the wavelengths that differentiate types of fungal 
                         diseases in grapevine plants. Plants inoculated with the pathogens 
                         Plasmopara viticola (downy mildew), Uncinula necator (powdery 
                         mildew), Ilyonectria macrodidyma (black-foot) and Phaeoacremonium 
                         sp.(Petri disease), and their controls were evaluated. The 
                         normalized average spectral profiles were obtained and 
                         characterizingspectra were calculated for data reduction and 
                         identification of wavelengths. Canonical discriminant analysis was 
                         used to obtain the classification accuracy. The wavelengths with 
                         separation potential were 443; 496; 516; 573; 695; 1420; 1900; 
                         2435nm. The spectral discrimination of the fungal diseases 
                         obtained overall accuracy 94.3% of the classification when 
                         excluded their controls and 85.7% when included.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3UAMLGS",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3UAMLGS",
           targetfile = "97940.pdf",
                 type = "Sensoriamento remoto hiperespectral",
        urlaccessdate = "08 maio 2024"
}