Data/hora: 09/06/2024 03:51:53

Provedor de dados: 	Engenharia Agrícola	
País: 	Brazil	
Título: 	Spatial variability of apparent electrical conductivity and soil properties in a coffee production field	
Autores: 	Valente,Domingos S. M.; Queiroz,Daniel M. de; Pinto,Francisco de A. de C.; Santos,Fábio L.; Santos,Nerilson T.	
Data: 	2014-12-01	
Ano: 	2014	
Palavras-chave: 	Geostatistical; Management zone; Sensors.	
Resumo: 	Precision agriculture based on the physical and chemical properties of soil requires dense sampling to determine the spatial variability of these properties. This dense sampling is often expensive and time-consuming. One technique used to reduce sample numbers involves defining management zones based on information collected in the field. Some researchers have demonstrated the importance of soil electrical variables in defining management zones. The objective of this study was to evaluate the relationship between the spatial variability of the apparent electrical conductivity and the soil properties in the coffee production of mountain regions. Spatial variability maps were generated using a geostatistical method. Based on the spatial variability results, a correlation analysis, using bivariate Moran's index, was done to evaluate the relationship between the apparent electrical conductivity and soil properties. The maps of potassium (K) and remaining phosphorus (P-rem) were the closest to the spatial variability pattern of the apparent electrical conductivity.	
Tipo: 	Info:eu-repo/semantics/other	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000600017	
Editor: 	Associação Brasileira de Engenharia Agrícola	
Relação: 	10.1590/S0100-69162014000600017	
Formato: 	text/html	
Fonte: 	Engenharia Agrícola  v.34 n.6 2014	
Fonte: 	info:eu-repo/semantics/openAccess