Digital imaging of coffee leaves under different nitrogen concentrations applied to soil
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 evalu...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Universidade Federal De Viçosa
2023-01-01
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| Series: | Revista Ceres |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2022000600648&tlng=en |
| _version_ | 1797957087832047616 |
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| author | Leandro José Grava de Godoy Alex Mendonça de Carvalho Ana Flávia de Freitas Cesar Elias Botelho João Luís Teodoro Garibaldi Samuel Ferrari |
| author_facet | Leandro José Grava de Godoy Alex Mendonça de Carvalho Ana Flávia de Freitas Cesar Elias Botelho João Luís Teodoro Garibaldi Samuel Ferrari |
| author_sort | Leandro José Grava de Godoy |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-10T23:58:53Z |
| format | Article |
| id | doaj.art-5af59a47658046d09a462a2cb4f20e51 |
| institution | Directory Open Access Journal |
| issn | 2177-3491 |
| language | English |
| last_indexed | 2024-04-10T23:58:53Z |
| publishDate | 2023-01-01 |
| publisher | Universidade Federal De Viçosa |
| record_format | Article |
| series | Revista Ceres |
| spelling | doaj.art-5af59a47658046d09a462a2cb4f20e512023-01-10T07:35:03ZengUniversidade Federal De ViçosaRevista Ceres2177-34912023-01-0169664865810.1590/0034-737x202269060003Digital imaging of coffee leaves under different nitrogen concentrations applied to soilLeandro José Grava de GodoyAlex Mendonça de CarvalhoAna Flávia de Freitashttps://orcid.org/0000-0003-2609-2209Cesar Elias BotelhoJoão Luís Teodoro GaribaldiSamuel FerrariABSTRACT 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2022000600648&tlng=enhuedark green color indexCoffea arabicaleaf nitrogen |
| spellingShingle | Leandro José Grava de Godoy Alex Mendonça de Carvalho Ana Flávia de Freitas Cesar Elias Botelho João Luís Teodoro Garibaldi Samuel Ferrari Digital imaging of coffee leaves under different nitrogen concentrations applied to soil Revista Ceres hue dark green color index Coffea arabica leaf nitrogen |
| title | 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_short | 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 |
| topic | hue dark green color index Coffea arabica leaf nitrogen |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2022000600648&tlng=en |
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