Digital imaging of coffee leaves under different nitrogen concentrations applied to soil
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/0034-737X202269060003 http://hdl.handle.net/11449/244820 |
Resumo: | Brazil is the largest Coffea arabica L. producer and exporter in the world market. In view of the need for nitrogen fertilization, the objective of this work was to evaluate the use of digital images of coffee leaves as a function of nitrogen concentration and cultivars, as well as to evaluate the most adequate sampling of this technique to predict leaf nitrogen. The experiment was set in a greenhouse, at UNESP - Experimental Campus of Registro-SP, using 12L pots with medium sand. A completely randomized design was adopted, in a 4 x 2 factorial scheme, with four concentrations of N (0, 50, 100 and 200 mg dm-3), and two coffee cultivars (Mundo Novo and Obatã), with ten replications. The variables evaluated were: hue, dark green color index (DGCI), leaf area and leaf nitrogen content. The hue and DGCI were influenced by N concentration, cultivar and are dependent on the day after treatment application and the number of leaves used. The use of five leaves per replication was more adequate to estimate leaf N content. Hue, DGCI and leaf area were higher in Obatã depending on the day after application of the treatment and N concentration. |
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Digital imaging of coffee leaves under different nitrogen concentrations applied to soilhuedark green color indexCoffea arabicaleaf nitrogenBrazil is the largest Coffea arabica L. producer and exporter in the world market. In view of the need for nitrogen fertilization, the objective of this work was to evaluate the use of digital images of coffee leaves as a function of nitrogen concentration and cultivars, as well as to evaluate the most adequate sampling of this technique to predict leaf nitrogen. The experiment was set in a greenhouse, at UNESP - Experimental Campus of Registro-SP, using 12L pots with medium sand. A completely randomized design was adopted, in a 4 x 2 factorial scheme, with four concentrations of N (0, 50, 100 and 200 mg dm-3), and two coffee cultivars (Mundo Novo and Obatã), with ten replications. The variables evaluated were: hue, dark green color index (DGCI), leaf area and leaf nitrogen content. The hue and DGCI were influenced by N concentration, cultivar and are dependent on the day after treatment application and the number of leaves used. The use of five leaves per replication was more adequate to estimate leaf N content. Hue, DGCI and leaf area were higher in Obatã depending on the day after application of the treatment and N concentration.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Universidade Estadual ‘Júlio de Mesquita Filho’, Departamento de AgriculturaInstituto Tecnológico de Agropecuária de Pitangui, EPAMIGEmpresa Agropecuária de Minas GeraisUniversidade Estadual ‘Júlio de Mesquita Filho’, Departamento de AgriculturaFAPESP: 2020/14029-4Universidade Federal de ViçosaUniversidade Estadual Paulista (UNESP)Instituto Tecnológico de Agropecuária de PitanguiEmpresa Agropecuária de Minas GeraisGodoy, Leandro José Grava De [UNESP]Carvalho, Alex Mendonça De [UNESP]Freitas, Ana Flávia DeBotelho, Cesar EliasGaribaldi, João Luís Teodoro [UNESP]Ferrari, Samuel [UNESP]2023-07-29T11:14:49Z2023-07-29T11:14:49Z2023-01-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article648-658application/pdfhttp://dx.doi.org/10.1590/0034-737X202269060003Revista Ceres. Universidade Federal de Viçosa, v. 69, n. 6, p. 648-658, 2023.0034-737X2177-3491http://hdl.handle.net/11449/24482010.1590/0034-737X202269060003S0034-737X2022000600648S0034-737X2022000600648.pdfSciELOreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Ceresinfo:eu-repo/semantics/openAccess2023-12-29T06:21:44Zoai:repositorio.unesp.br:11449/244820Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-12-29T06:21:44Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Digital imaging of coffee leaves under different nitrogen concentrations applied to soil |
title |
Digital imaging of coffee leaves under different nitrogen concentrations applied to soil |
spellingShingle |
Digital imaging of coffee leaves under different nitrogen concentrations applied to soil Godoy, Leandro José Grava De [UNESP] hue dark green color index Coffea arabica leaf nitrogen |
title_short |
Digital imaging of coffee leaves under different nitrogen concentrations applied to soil |
title_full |
Digital imaging of coffee leaves under different nitrogen concentrations applied to soil |
title_fullStr |
Digital imaging of coffee leaves under different nitrogen concentrations applied to soil |
title_full_unstemmed |
Digital imaging of coffee leaves under different nitrogen concentrations applied to soil |
title_sort |
Digital imaging of coffee leaves under different nitrogen concentrations applied to soil |
author |
Godoy, Leandro José Grava De [UNESP] |
author_facet |
Godoy, Leandro José Grava De [UNESP] Carvalho, Alex Mendonça De [UNESP] Freitas, Ana Flávia De Botelho, Cesar Elias Garibaldi, João Luís Teodoro [UNESP] Ferrari, Samuel [UNESP] |
author_role |
author |
author2 |
Carvalho, Alex Mendonça De [UNESP] Freitas, Ana Flávia De Botelho, Cesar Elias Garibaldi, João Luís Teodoro [UNESP] Ferrari, Samuel [UNESP] |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Instituto Tecnológico de Agropecuária de Pitangui Empresa Agropecuária de Minas Gerais |
dc.contributor.author.fl_str_mv |
Godoy, Leandro José Grava De [UNESP] Carvalho, Alex Mendonça De [UNESP] Freitas, Ana Flávia De Botelho, Cesar Elias Garibaldi, João Luís Teodoro [UNESP] Ferrari, Samuel [UNESP] |
dc.subject.por.fl_str_mv |
hue dark green color index Coffea arabica leaf nitrogen |
topic |
hue dark green color index Coffea arabica leaf nitrogen |
description |
Brazil is the largest Coffea arabica L. producer and exporter in the world market. In view of the need for nitrogen fertilization, the objective of this work was to evaluate the use of digital images of coffee leaves as a function of nitrogen concentration and cultivars, as well as to evaluate the most adequate sampling of this technique to predict leaf nitrogen. The experiment was set in a greenhouse, at UNESP - Experimental Campus of Registro-SP, using 12L pots with medium sand. A completely randomized design was adopted, in a 4 x 2 factorial scheme, with four concentrations of N (0, 50, 100 and 200 mg dm-3), and two coffee cultivars (Mundo Novo and Obatã), with ten replications. The variables evaluated were: hue, dark green color index (DGCI), leaf area and leaf nitrogen content. The hue and DGCI were influenced by N concentration, cultivar and are dependent on the day after treatment application and the number of leaves used. The use of five leaves per replication was more adequate to estimate leaf N content. Hue, DGCI and leaf area were higher in Obatã depending on the day after application of the treatment and N concentration. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-29T11:14:49Z 2023-07-29T11:14:49Z 2023-01-09 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1590/0034-737X202269060003 Revista Ceres. Universidade Federal de Viçosa, v. 69, n. 6, p. 648-658, 2023. 0034-737X 2177-3491 http://hdl.handle.net/11449/244820 10.1590/0034-737X202269060003 S0034-737X2022000600648 S0034-737X2022000600648.pdf |
url |
http://dx.doi.org/10.1590/0034-737X202269060003 http://hdl.handle.net/11449/244820 |
identifier_str_mv |
Revista Ceres. Universidade Federal de Viçosa, v. 69, n. 6, p. 648-658, 2023. 0034-737X 2177-3491 10.1590/0034-737X202269060003 S0034-737X2022000600648 S0034-737X2022000600648.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Revista Ceres |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
648-658 application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Viçosa |
publisher.none.fl_str_mv |
Universidade Federal de Viçosa |
dc.source.none.fl_str_mv |
SciELO reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799965449520152576 |