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

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dc.contributor.author Godoy, Leandro José Grava de
dc.contributor.author Carvalho, Alex Mendonça de
dc.contributor.author Freitas, Ana Flávia de
dc.contributor.author Botelho, Cesar Elias
dc.contributor.author Garibaldi, João Luís Teodoro
dc.contributor.author Ferrari, Samuel
dc.date.accessioned 2023-02-03T23:15:52Z
dc.date.available 2023-02-03T23:15:52Z
dc.date.issued 2022-01-09
dc.identifier.citation GODOY, Leandro José Grava de; CARVALHO, Alex Mendonça de; FREITAS, Ana Flávia de; BOTELHO, Cesar Elias; GARIBALDI, João Luís Teodoro; FERRARI, Samuel. Digital imaging of coffee leaves under different nitrogen concentrations applied to soil. Revista Ceres, Viçosa, v. 69, n. 6, p. 648-658, 09 jan. 2022. Available from: https://doi.org/10.1590/0034-737X202269060003. Accessed: 23 jan. 2023. pt_BR
dc.identifier.issn 2177-3491
dc.identifier.uri https://doi.org/10.1590/0034-737X202269060003 pt_BR
dc.identifier.uri http://www.sbicafe.ufv.br/handle/123456789/13749
dc.description.abstract 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. pt_BR
dc.format pdf pt_BR
dc.language.iso en pt_BR
dc.publisher Universidade Federal de Viçosa pt_BR
dc.relation.ispartofseries Revista Ceres;v. 69, n. 6, p. 648-658, 2022;
dc.rights Open Access pt_BR
dc.subject hue pt_BR
dc.subject dark green color index pt_BR
dc.subject Coffea arabica pt_BR
dc.subject leaf nitrogen pt_BR
dc.subject.classification Cafeicultura::Extensão e inovação pt_BR
dc.title Digital imaging of coffee leaves under different nitrogen concentrations applied to soil pt_BR
dc.type Artigo pt_BR

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