Reflectance spectrometry applied to the analysis of nitrogen and potassium deficiency in cotton
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista ciência agronômica (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000400414 |
Resumo: | ABSTRACT The detailed study of hyperspectral data that optimise the management of agricultural inputs can be a powerful ally in the nutrient diagnosis of plants. This study characterised variations in the reflectance factors of cotton leaves (Gossypium hirsutum L.) of the BRS 293 cultivar, submitted to different levels of N and K fertilisation. A total of 166 plants were submitted to four doses of N and K, with twenty replications and six controls. Each treatment represents one level of fertilisation: 50, 75, 100 and 125% of the recommended amount of both macronutrients at each stage of the phenological cycle. The spectroradiometer used in the laboratory was the FieldSpec Pro FR 3® with a spectral resolution of 1 nm and an operating range that extends from 350 to 2500 nm. In both treatments, PCA allowed wavelengths to be idenbtified grouped by such parameters as brightness, chlorophyll and leaf moisture. The N and K fertilisation caused significant changes in the factors, where the greatest difference between doses was seen at 790 and 1198 nm. The wavelengths between 550 and 700 nm and at 1390 and 1880 nm were, respectively, the most promising for explaining the variance in nutrient levels of N and K in cotton. |
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Reflectance spectrometry applied to the analysis of nitrogen and potassium deficiency in cottonRemote sensingHyperspectral sensorMineral DeficiencyGossypium hirsutum L.ABSTRACT The detailed study of hyperspectral data that optimise the management of agricultural inputs can be a powerful ally in the nutrient diagnosis of plants. This study characterised variations in the reflectance factors of cotton leaves (Gossypium hirsutum L.) of the BRS 293 cultivar, submitted to different levels of N and K fertilisation. A total of 166 plants were submitted to four doses of N and K, with twenty replications and six controls. Each treatment represents one level of fertilisation: 50, 75, 100 and 125% of the recommended amount of both macronutrients at each stage of the phenological cycle. The spectroradiometer used in the laboratory was the FieldSpec Pro FR 3® with a spectral resolution of 1 nm and an operating range that extends from 350 to 2500 nm. In both treatments, PCA allowed wavelengths to be idenbtified grouped by such parameters as brightness, chlorophyll and leaf moisture. The N and K fertilisation caused significant changes in the factors, where the greatest difference between doses was seen at 790 and 1198 nm. The wavelengths between 550 and 700 nm and at 1390 and 1880 nm were, respectively, the most promising for explaining the variance in nutrient levels of N and K in cotton.Universidade Federal do Ceará2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000400414Revista Ciência Agronômica v.51 n.4 2020reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20200074info:eu-repo/semantics/openAccessOliveira,Marcio Regys Rabelo deQueiroz,Thales Rafael GuimarãesTeixeira,Adunias dos SantosMoreira,Luís Clênio JárioLeão,Raimundo Alípio de Oliveiraeng2020-11-17T00:00:00Zoai:scielo:S1806-66902020000400414Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2020-11-17T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
Reflectance spectrometry applied to the analysis of nitrogen and potassium deficiency in cotton |
title |
Reflectance spectrometry applied to the analysis of nitrogen and potassium deficiency in cotton |
spellingShingle |
Reflectance spectrometry applied to the analysis of nitrogen and potassium deficiency in cotton Oliveira,Marcio Regys Rabelo de Remote sensing Hyperspectral sensor Mineral Deficiency Gossypium hirsutum L. |
title_short |
Reflectance spectrometry applied to the analysis of nitrogen and potassium deficiency in cotton |
title_full |
Reflectance spectrometry applied to the analysis of nitrogen and potassium deficiency in cotton |
title_fullStr |
Reflectance spectrometry applied to the analysis of nitrogen and potassium deficiency in cotton |
title_full_unstemmed |
Reflectance spectrometry applied to the analysis of nitrogen and potassium deficiency in cotton |
title_sort |
Reflectance spectrometry applied to the analysis of nitrogen and potassium deficiency in cotton |
author |
Oliveira,Marcio Regys Rabelo de |
author_facet |
Oliveira,Marcio Regys Rabelo de Queiroz,Thales Rafael Guimarães Teixeira,Adunias dos Santos Moreira,Luís Clênio Jário Leão,Raimundo Alípio de Oliveira |
author_role |
author |
author2 |
Queiroz,Thales Rafael Guimarães Teixeira,Adunias dos Santos Moreira,Luís Clênio Jário Leão,Raimundo Alípio de Oliveira |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Oliveira,Marcio Regys Rabelo de Queiroz,Thales Rafael Guimarães Teixeira,Adunias dos Santos Moreira,Luís Clênio Jário Leão,Raimundo Alípio de Oliveira |
dc.subject.por.fl_str_mv |
Remote sensing Hyperspectral sensor Mineral Deficiency Gossypium hirsutum L. |
topic |
Remote sensing Hyperspectral sensor Mineral Deficiency Gossypium hirsutum L. |
description |
ABSTRACT The detailed study of hyperspectral data that optimise the management of agricultural inputs can be a powerful ally in the nutrient diagnosis of plants. This study characterised variations in the reflectance factors of cotton leaves (Gossypium hirsutum L.) of the BRS 293 cultivar, submitted to different levels of N and K fertilisation. A total of 166 plants were submitted to four doses of N and K, with twenty replications and six controls. Each treatment represents one level of fertilisation: 50, 75, 100 and 125% of the recommended amount of both macronutrients at each stage of the phenological cycle. The spectroradiometer used in the laboratory was the FieldSpec Pro FR 3® with a spectral resolution of 1 nm and an operating range that extends from 350 to 2500 nm. In both treatments, PCA allowed wavelengths to be idenbtified grouped by such parameters as brightness, chlorophyll and leaf moisture. The N and K fertilisation caused significant changes in the factors, where the greatest difference between doses was seen at 790 and 1198 nm. The wavelengths between 550 and 700 nm and at 1390 and 1880 nm were, respectively, the most promising for explaining the variance in nutrient levels of N and K in cotton. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000400414 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000400414 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5935/1806-6690.20200074 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal do Ceará |
publisher.none.fl_str_mv |
Universidade Federal do Ceará |
dc.source.none.fl_str_mv |
Revista Ciência Agronômica v.51 n.4 2020 reponame:Revista ciência agronômica (Online) instname:Universidade Federal do Ceará (UFC) instacron:UFC |
instname_str |
Universidade Federal do Ceará (UFC) |
instacron_str |
UFC |
institution |
UFC |
reponame_str |
Revista ciência agronômica (Online) |
collection |
Revista ciência agronômica (Online) |
repository.name.fl_str_mv |
Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC) |
repository.mail.fl_str_mv |
||alekdutra@ufc.br|| ccarev@ufc.br |
_version_ |
1750297489909481472 |