Data/hora: 12/06/2024 07:07:52

Provedor de dados: | 91
País: | Brazil
Título: | Management zones in coffee cultivation
Autores: | Jacintho,João L.; Ferraz,Gabriel A. e S.; Silva,Fabio M. da; Santos,Sthéfany A.
Data: | 2017-02-01
Ano: | 2017
Palavras-chave: | Coffea arabica L.; Precision agriculture; Yield; Thematic mapping.
Resumo: | ABSTRACT This study aimed to apply precision agriculture techniques in coffee production, using correlation analysis in the definition of management zones. This work was carried out in a 22-ha area of coffee (Coffea arabica L.), cv. ‘Topázio MG 1190’, which was sampled on a regular grid, using a topographic GPS, totaling 64 georeferenced samples (on average, 2.9 points per ha). Descriptive analysis was used in the data, followed by Pearson’s correlation analysis at 0.05 significance between soil chemical attributes, agronomic characteristics of the plants and altitude. It was possible to verify the correlation of soil chemical attributes, agronomic characteristics of the plants and altitude with coffee yield. Altitude was the variable most correlated with coffee yield through correlation analysis. Therefore, it was chosen as the best variable to define management zones and thematic maps capable to support coffee farmers. Three maps were generated to characterize the area in two, three and four management zones. There was a direct influence on mean yield.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000200094
Editor: | Departamento de Engenharia Agrícola  - UFCG
Relação: | 10.1590/1807-1929/agriambi.v21n2p94-99
Formato: | text/html
Fonte: | Revista Brasileira de Engenharia Agrícola e Ambiental  v.21 n.2 2017
Fonte: | info:eu-repo/semantics/openAccess