@InProceedings{MoriyaImaiTomm:2017:AvPoÍn,
               author = "Moriya, {\'E}rika Akemi Saito and Imai, Nilton Nobuhiro and 
                         Tommaselli, Antonio Maria Garcia",
                title = "Avalia{\c{c}}{\~a}o do potencial de {\'{\i}}ndices de 
                         vegeta{\c{c}}{\~a}o para detec{\c{c}}{\~a}o de doen{\c{c}}a 
                         na cana-de-a{\c{c}}{\'u}car em imagens hiperespectrais 
                         adquiridas por VANT",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "886--893",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Technological innovations from Precision Agriculture have 
                         contributed the agronomic development optimizing and automating 
                         their activities bringing benefits in agricultural production and 
                         the environment. The purpose of this study was to evaluate the 
                         potential of vegetation indices in hyperspectral images taken by 
                         unmanned aerial vehicle (UAV) for detection sugarcane mosaic. 
                         Indexes that brought a major contribution to the detection of 
                         regions infected with sugarcane mosaic were Normalized difference 
                         Vegetation Index (NDVI), Normalized difference Vegetation Index 
                         Red Edge (NDVI705), New Vegetation Index (NVI), and Anthocyanin 
                         Index Reflectance 2 (ARI2). All indices analyzed in this case 
                         study, except the Photochemical Reflectance Index (PRI), 
                         Carotenoid reflectance Index 2 (CRI2), and REP were not efficient 
                         to show bare soil areas. The PRI, Carotenoid reflectance Index 1 
                         (CRI1) and CRI2 and especially Modified Chlorophyll Absorption 
                         Ratio Index (MCARI) showed the noises of hyperspectral imaging, 
                         Transformed chlorophyll absorption reflectance index (TCARI) and 
                         Red Edge Position Determination (REP) did not present information 
                         related to the presence of mosaic in sugarcane. However, among the 
                         indexes, analyzed ARI2 was able to highlight areas infected with 
                         mosaic; this index is associated with the concentration of 
                         anthocyanin in vegetation, the anthocyanin may be indicative of 
                         senescence and stress in some species of plants. The importance of 
                         such research is justified by its contribution to agriculture with 
                         the generation of a methodology that enable the use of sensors 
                         designed to take images in appropriate spectral bands to 
                         monitoring crops, and assist in agricultural management practices 
                         using a approach that cause less environmental impact.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59224",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS4FPP",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4FPP",
           targetfile = "59224.pdf",
                 type = "VANTs, videografia e alta resolu{\c{c}}{\~a}o",
        urlaccessdate = "26 abr. 2024"
}