@InProceedings{MontibellerSSKFAPD:2017:IdGaSu,
               author = "Montibeller, Bruno and Silveira, Hilton Lu{\'{\i}}s Ferraz da 
                         and Sanches, Ieda Del Arco and Korting, Thales Sehn and Fonseca, 
                         Leila Maria Garcia and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz 
                         de and Picoli, Michelle Cristina Ara{\'u}jo and Duft, Daniel 
                         Garbellini",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Identification of gaps in sugarcane plantations using UAV images",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1169--1176",
         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 = "Global climate change is a highly quoted issue nowadays. 
                         Therefore, actions related to rational and efficient use of 
                         cultivated lands, which is the main goal of precision agriculture, 
                         are required. Sugarcane culture provides an energetic alternative 
                         to achieve lower greenhouse gas emissions. In this study we 
                         present preliminary results of a methodology for detecting gaps in 
                         sugarcane crop, from images acquired using an Unmanned Airborne 
                         Vehicle (UAV). The study area is located at Iracem{\'a}polis, 
                         country side of S{\~a}o Paulo State, Brazil. Results demonstrated 
                         that very high resolution UAV optical images can efficiently 
                         detect gaps in sugarcane plantations. Our methodology identified 
                         20,90% of exposed soil areas resulting of planting and/or growing 
                         flaws. This information allows producers to repair the flaws in 
                         planted lines, consequently intensifying and increasing crop 
                         productivity. Moreover, the quantification of the area affected by 
                         gaps can directly improve estimates of sugarcane production. This 
                         study confirmed that UAVs are excellent tools for gathering very 
                         high resolution spatially explicit optical remote sensing 
                         information over agriculture crops. The planting/growing gaps were 
                         significantly large for justifying the need of producers 
                         intervention, through new planting or fertilizing the area. 
                         Nevertheless, we point out the necessity for improving UAVs flight 
                         parameters, such as flight high and line distances between 
                         imagery, once the sensor viewing angle may cause false vegetation 
                         density, masking exposed soil areas.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59955",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS4G9D",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4G9D",
           targetfile = "59955.pdf",
                 type = "VANTs, videografia e alta resolu{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}