@InProceedings{BendiniJaPePaMoPoFo:2015:DeDiSi,
author = "Bendini, Hugo do Nascimento and Jacon, Aline Daniele and
Pess{\^o}a, Ana Carolina Moreira and Pavanelli, Jo{\~a}o Arthur
Pompeu and Moraes, Wilson da Silva and Ponzoni, Fl{\'a}vio Jorge
and Fonseca, Leila Maria Garcia",
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 {} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Caracteriza{\c{c}}{\~a}o Espectral de Folhas de Bananeira (Musa
spp.) para detec{\c{c}}{\~a}o e diferencia{\c{c}}{\~a}o da
Sigatoka Negra e Sigatoka Amarela",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "2536--2543",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "This study was based on the spectral characterization of detached
leaves from banana plants affected by some fungal diseases. A
comparison of two fungal leaf diseases of banana plants was
conducted regarding the spectral behavior of the healthy plant as
opposed to the differences found in different severity levels of
both diseases. Reflectance spectra (400-2400 nm) of leaves
infected in four different severity levels with the fungal
pathogens Mycosphaerella musicola and Mycosphaerella fijiensis
causing what is called sigatoka disease were recorded by a
spectroradiometer running on in-lab conditions and analyzed for
disease-specific reflectance spectra. We calculate the spectral
difference and reflectance sensitivity for each wavelength
emphasizing regions of high interest in the visible and near
infrared region of the spectral signatures. Spectral vegetation
indices related to physiological parameters were calculated and
correlated to the severity of diseases. There were significant
differences in the spectral characteristics of leaf samples
infected with both diseases mainly in both visible and near
infrared regions. The vegetation indices PSSRa, PSSRb, NDVI and
SIPI showed better differentiation between the healthy and
different severity levels infected plants. However, indices
combinations seem to be most promising in detecting these
diseases.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "511",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4A5H",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4A5H",
targetfile = "p0511.pdf",
type = "Floresta e vegeta{\c{c}}{\~a}o",
urlaccessdate = "27 abr. 2024"
}