Digital imaging of coffee leaves under different nitrogen concentrations applied to soil

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorInstituto Tecnológico de Agropecuária de Pitangui-
Autor(es): dc.contributorEmpresa Agropecuária de Minas Gerais-
Autor(es): dc.creatorGodoy, Leandro José Grava De-
Autor(es): dc.creatorCarvalho, Alex Mendonça De-
Autor(es): dc.creatorFreitas, Ana Flávia De-
Autor(es): dc.creatorBotelho, Cesar Elias-
Autor(es): dc.creatorGaribaldi, João Luís Teodoro-
Autor(es): dc.creatorFerrari, Samuel-
Data de aceite: dc.date.accessioned2025-08-21T21:28:56Z-
Data de disponibilização: dc.date.available2025-08-21T21:28:56Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-01-08-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1590/0034-737X202269060003-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/244820-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/244820-
Descrição: dc.descriptionBrazil 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.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionUniversidade Estadual ‘Júlio de Mesquita Filho’, Departamento de Agricultura-
Descrição: dc.descriptionInstituto Tecnológico de Agropecuária de Pitangui, EPAMIG-
Descrição: dc.descriptionEmpresa Agropecuária de Minas Gerais-
Descrição: dc.descriptionUniversidade Estadual ‘Júlio de Mesquita Filho’, Departamento de Agricultura-
Descrição: dc.descriptionFAPESP: 2020/14029-4-
Formato: dc.format648-658-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherUniversidade Federal de Viçosa-
Relação: dc.relationRevista Ceres-
Direitos: dc.rightsinfo:eu-repo/semantics/openAccess-
???dc.source???: dc.sourceSciELO-
Palavras-chave: dc.subjecthue-
Palavras-chave: dc.subjectdark green color index-
Palavras-chave: dc.subjectCoffea arabica-
Palavras-chave: dc.subjectleaf nitrogen-
Título: dc.titleDigital imaging of coffee leaves under different nitrogen concentrations applied to soil-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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