@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 = "28 abr. 2024"
}