Data/hora: 09/06/2024 11:46:04

Provedor de dados: 	64	
País: 	Brazil	
Título: 	Digital soil mapping approach based on fuzzy logic and field expert knowledge	
Autores: 	Menezes,Michele Duarte de; Silva,Sérgio Henrique Godinho; Owens,Phillip Ray; Curi,Nilton.	
Data: 	2013-08-01	
Ano: 	2013	
Palavras-chave: 	Digital soil mapping; Soil prediction; Conditioned Latin hypercube sampling; Knowledge miner.	
Resumo: 	In Brazil, soil surveys in more detailed scale are still scarce and necessary to more adequately support the decision makers for planning soil and environment activities in small areas. Hence, this review addresses some digital soil mapping techniques that enable faster production of soil surveys, beyond fitting continuous spatial distribution of soil properties into discrete soil categories, in accordance with the inherent complexity of soil variation, increasing the accuracy of spatial information. The technique focused here is knowledge-based in expert systems, under fuzzy logic and vector of similarity. For that, a contextualization of each tool in the soil types and properties prediction is provided, as well as some options of knowledge extraction techniques. Such tools have reduced the inconsistency and costs associated with the traditional manual processes, relying on a relatively low density of soil samples. On the other hand, knowledge-based technique is not automatic, and just as the traditional soil survey, the knowledge of soil-landscape relationships is irreplaceable.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542013000400001	
Editor: 	Editora da Universidade Federal de Lavras	
Relação: 	10.1590/S1413-70542013000400001	
Formato: 	text/html	
Fonte: 	Ciência e Agrotecnologia  v.37 n.4 2013	
Fonte: 	info:eu-repo/semantics/openAccess