INFLUENCE OF THE DAY HOUR AND DIRECTION OF THE SOWING ON SOME VEGETATION INDEXES OF CORN
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Engenharia na Agricultura |
Texto Completo: | https://periodicos.ufv.br/reveng/article/view/225 |
Resumo: | There is high spatial variability of nitrogen availability within the same area. Supplying the required N can increase income, and reduce unnecessary N supply and its leaching to underground water. Measuring spectral reflectance and calculating vegetation indexes is considered promising non-destructive and non-contact approach to instantly measure N deficiency in corn. This study was done to determine the influence of the direction of the sowing and of the hour of the day on determination of the vegetation indexes of corn crop. The sowing lines followed North-South and East-West direction. The sowing direction and sun trajectory influenced the indexes: the NIR/red ratio, the Normalized Difference Vegetation Index (NDVI), the Soil-Adjusted Vegetation Index (SAVI), the Optimized Soil-Adjusted Vegetation Index (OSAVI), the NIR/green ratio and the Green Normalized Difference Vegetation Index (GNDVI). GNDVI was more homogeneous with lower coefficient of variation, thus appears to be more appropriate for use in real time N application and in variable rates, when control of sowing direction is not possible. In other cases SAVI and OSAVI are the more suitable as their models had higher R2. |
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INFLUENCE OF THE DAY HOUR AND DIRECTION OF THE SOWING ON SOME VEGETATION INDEXES OF CORNINFLUÊNCIA DA DIREÇÃO DA SEMEADURA E DA HORA DO DIA EM ÍNDICES DE VEGETAÇÃOaplicação de fertilizantesreflectânciasensoriamento remoto.There is high spatial variability of nitrogen availability within the same area. Supplying the required N can increase income, and reduce unnecessary N supply and its leaching to underground water. Measuring spectral reflectance and calculating vegetation indexes is considered promising non-destructive and non-contact approach to instantly measure N deficiency in corn. This study was done to determine the influence of the direction of the sowing and of the hour of the day on determination of the vegetation indexes of corn crop. The sowing lines followed North-South and East-West direction. The sowing direction and sun trajectory influenced the indexes: the NIR/red ratio, the Normalized Difference Vegetation Index (NDVI), the Soil-Adjusted Vegetation Index (SAVI), the Optimized Soil-Adjusted Vegetation Index (OSAVI), the NIR/green ratio and the Green Normalized Difference Vegetation Index (GNDVI). GNDVI was more homogeneous with lower coefficient of variation, thus appears to be more appropriate for use in real time N application and in variable rates, when control of sowing direction is not possible. In other cases SAVI and OSAVI are the more suitable as their models had higher R2.A necessidade de nitrogênio (N) apresenta grande variabilidade espacial dentro de uma mesma área. A aplicação da real necessidade de N pode aumentar o rendimento, reduzir a aplicação desnecessária e o fluxo para os lençóis freáticos. A medida da reflectância espectral e conseqüente cálculo de índices de vegetação são considerados promissoras abordagens não destrutivas e sem contato para o sensoriamento instantâneo da deficiência de N em milho. Neste trabalho procurou-se estudar a influência da direção da semeadura e da hora do dia nos índices de vegetação no milho. As linhas de semeadura foram localizadas na direção Norte-Sul (NS) e Leste-Oeste (LO). O direcionamento da semeadura em relação à trajetória do sol influenciou os índices estudados: relação infravermelho próximo pelo vermelho - IVP/Verm, índice de vegetação da diferença normalizada - IVDN, índice de vegetação ajustado ao solo - SAVI , índice de vegetação ajustado ao solo aperfeiçoado – OSAVI, relação infravermelho próximo pelo verde - IVP/Verd, índice verde de vegetação da diferença normalizada - IVVDN. O IVVDN apresentou-se mais homogêneo e com menor coeficiente de variação, mostrando-se mais interessante na utilização da aplicação de N em tempo real e a taxas variáveis quando não for possível controlar a direção da semeadura. Caso contrário os índices SAVI e OSAVI são os mais indicados por apresentarem modelos com maior R2.Universidade Federal de Viçosa - UFV2010-10-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/22510.13083/reveng.v18i5.250Engineering in Agriculture; Vol. 18 No. 5 (2010); 405-412Revista Engenharia na Agricultura - REVENG; v. 18 n. 5 (2010); 405-4122175-68131414-398410.13083/reveng.v18i5reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVporhttps://periodicos.ufv.br/reveng/article/view/225/176Suszek, GrazieliSouza, Eduardo Godoy deUribe-Opazo, Miguel AngelNóbrega, Lúcia Helena PereiraKonopazki, Márcia Regina Siqueirainfo:eu-repo/semantics/openAccess2023-01-19T12:49:59Zoai:ojs.periodicos.ufv.br:article/225Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-19T12:49:59Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false |
dc.title.none.fl_str_mv |
INFLUENCE OF THE DAY HOUR AND DIRECTION OF THE SOWING ON SOME VEGETATION INDEXES OF CORN INFLUÊNCIA DA DIREÇÃO DA SEMEADURA E DA HORA DO DIA EM ÍNDICES DE VEGETAÇÃO |
title |
INFLUENCE OF THE DAY HOUR AND DIRECTION OF THE SOWING ON SOME VEGETATION INDEXES OF CORN |
spellingShingle |
INFLUENCE OF THE DAY HOUR AND DIRECTION OF THE SOWING ON SOME VEGETATION INDEXES OF CORN Suszek, Grazieli aplicação de fertilizantes reflectância sensoriamento remoto. |
title_short |
INFLUENCE OF THE DAY HOUR AND DIRECTION OF THE SOWING ON SOME VEGETATION INDEXES OF CORN |
title_full |
INFLUENCE OF THE DAY HOUR AND DIRECTION OF THE SOWING ON SOME VEGETATION INDEXES OF CORN |
title_fullStr |
INFLUENCE OF THE DAY HOUR AND DIRECTION OF THE SOWING ON SOME VEGETATION INDEXES OF CORN |
title_full_unstemmed |
INFLUENCE OF THE DAY HOUR AND DIRECTION OF THE SOWING ON SOME VEGETATION INDEXES OF CORN |
title_sort |
INFLUENCE OF THE DAY HOUR AND DIRECTION OF THE SOWING ON SOME VEGETATION INDEXES OF CORN |
author |
Suszek, Grazieli |
author_facet |
Suszek, Grazieli Souza, Eduardo Godoy de Uribe-Opazo, Miguel Angel Nóbrega, Lúcia Helena Pereira Konopazki, Márcia Regina Siqueira |
author_role |
author |
author2 |
Souza, Eduardo Godoy de Uribe-Opazo, Miguel Angel Nóbrega, Lúcia Helena Pereira Konopazki, Márcia Regina Siqueira |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Suszek, Grazieli Souza, Eduardo Godoy de Uribe-Opazo, Miguel Angel Nóbrega, Lúcia Helena Pereira Konopazki, Márcia Regina Siqueira |
dc.subject.por.fl_str_mv |
aplicação de fertilizantes reflectância sensoriamento remoto. |
topic |
aplicação de fertilizantes reflectância sensoriamento remoto. |
description |
There is high spatial variability of nitrogen availability within the same area. Supplying the required N can increase income, and reduce unnecessary N supply and its leaching to underground water. Measuring spectral reflectance and calculating vegetation indexes is considered promising non-destructive and non-contact approach to instantly measure N deficiency in corn. This study was done to determine the influence of the direction of the sowing and of the hour of the day on determination of the vegetation indexes of corn crop. The sowing lines followed North-South and East-West direction. The sowing direction and sun trajectory influenced the indexes: the NIR/red ratio, the Normalized Difference Vegetation Index (NDVI), the Soil-Adjusted Vegetation Index (SAVI), the Optimized Soil-Adjusted Vegetation Index (OSAVI), the NIR/green ratio and the Green Normalized Difference Vegetation Index (GNDVI). GNDVI was more homogeneous with lower coefficient of variation, thus appears to be more appropriate for use in real time N application and in variable rates, when control of sowing direction is not possible. In other cases SAVI and OSAVI are the more suitable as their models had higher R2. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-10-08 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufv.br/reveng/article/view/225 10.13083/reveng.v18i5.250 |
url |
https://periodicos.ufv.br/reveng/article/view/225 |
identifier_str_mv |
10.13083/reveng.v18i5.250 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufv.br/reveng/article/view/225/176 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
dc.source.none.fl_str_mv |
Engineering in Agriculture; Vol. 18 No. 5 (2010); 405-412 Revista Engenharia na Agricultura - REVENG; v. 18 n. 5 (2010); 405-412 2175-6813 1414-3984 10.13083/reveng.v18i5 reponame:Engenharia na Agricultura instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
Engenharia na Agricultura |
collection |
Engenharia na Agricultura |
repository.name.fl_str_mv |
Engenharia na Agricultura - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br |
_version_ |
1800211144596520960 |