Digital soil mapping approach based on fuzzy logic and field expert knowledge
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, b...
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Universidade Federal de Lavras
2013-08-01
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Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542013000400001&lng=en&tlng=en |
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doaj-927c285e98d64c399ac88542240475fa2020-11-24T21:20:01ZengUniversidade Federal de LavrasCiência e Agrotecnologia1981-18292013-08-0137428729810.1590/S1413-70542013000400001S1413-70542013000400001Digital soil mapping approach based on fuzzy logic and field expert knowledgeMichele Duarte de Menezes0Sérgio Henrique Godinho Silva1Phillip Ray Owens2Nilton Curi3Universidade Federal Rural do Rio de JaneiroUniversidade Federal de LavrasPurdue UniversityUniversidade Federal de LavrasIn 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542013000400001&lng=en&tlng=enMapeamento digital de solospredição de solosamostragem em hipercubo latino condicionadomineração do conhecimento |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Michele Duarte de Menezes Sérgio Henrique Godinho Silva Phillip Ray Owens Nilton Curi |
spellingShingle |
Michele Duarte de Menezes Sérgio Henrique Godinho Silva Phillip Ray Owens Nilton Curi Digital soil mapping approach based on fuzzy logic and field expert knowledge Ciência e Agrotecnologia Mapeamento digital de solos predição de solos amostragem em hipercubo latino condicionado mineração do conhecimento |
author_facet |
Michele Duarte de Menezes Sérgio Henrique Godinho Silva Phillip Ray Owens Nilton Curi |
author_sort |
Michele Duarte de Menezes |
title |
Digital soil mapping approach based on fuzzy logic and field expert knowledge |
title_short |
Digital soil mapping approach based on fuzzy logic and field expert knowledge |
title_full |
Digital soil mapping approach based on fuzzy logic and field expert knowledge |
title_fullStr |
Digital soil mapping approach based on fuzzy logic and field expert knowledge |
title_full_unstemmed |
Digital soil mapping approach based on fuzzy logic and field expert knowledge |
title_sort |
digital soil mapping approach based on fuzzy logic and field expert knowledge |
publisher |
Universidade Federal de Lavras |
series |
Ciência e Agrotecnologia |
issn |
1981-1829 |
publishDate |
2013-08-01 |
description |
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. |
topic |
Mapeamento digital de solos predição de solos amostragem em hipercubo latino condicionado mineração do conhecimento |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542013000400001&lng=en&tlng=en |
work_keys_str_mv |
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