Digital soil mapping at Parque Estadual da Mata Seca, Minas Gerais state, Brazil: applying regression tree to predict soil classes.

Saved in:
Bibliographic Details
Main Authors: DART, R. de O., COELHO, M. R., MENDONÇA-SANTOS, M. L., PARES, J. G., BERBARA, R. L. L.
Other Authors: RICARDO DE OLIVEIRA DART, CNPS; Universidade Federal Rural do Rio de Janeiro.
Format: Anais e Proceedings de eventos biblioteca
Language:English
eng
Published: 2011-01-19
Subjects:Digital Soil Mapping, Soil classes, Traditional techniques,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/873578
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-alice-doc-873578
record_format koha
spelling dig-alice-doc-8735782020-03-05T18:11:44Z Digital soil mapping at Parque Estadual da Mata Seca, Minas Gerais state, Brazil: applying regression tree to predict soil classes. DART, R. de O. COELHO, M. R. MENDONÇA-SANTOS, M. L. PARES, J. G. BERBARA, R. L. L. RICARDO DE OLIVEIRA DART, CNPS; Universidade Federal Rural do Rio de Janeiro. Digital Soil Mapping Soil classes Traditional techniques 2020-03-05T18:11:39Z 2020-03-05T18:11:39Z 2011-01-19 2010 2020-03-05T18:11:39Z Anais e Proceedings de eventos In: INTERNATIONAL WORKSHOP ON DIGITAL SOIL MAPPING, 4., 2010, Roma. From digital soil mapping to digital soil assessment: identifying key gaps from fields to continents: proceedings... Roma: IUSS, 2010. http://www.alice.cnptia.embrapa.br/alice/handle/doc/873578 en eng openAccess
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language English
eng
topic Digital Soil Mapping
Soil classes
Traditional techniques
Digital Soil Mapping
Soil classes
Traditional techniques
spellingShingle Digital Soil Mapping
Soil classes
Traditional techniques
Digital Soil Mapping
Soil classes
Traditional techniques
DART, R. de O.
COELHO, M. R.
MENDONÇA-SANTOS, M. L.
PARES, J. G.
BERBARA, R. L. L.
Digital soil mapping at Parque Estadual da Mata Seca, Minas Gerais state, Brazil: applying regression tree to predict soil classes.
author2 RICARDO DE OLIVEIRA DART, CNPS; Universidade Federal Rural do Rio de Janeiro.
author_facet RICARDO DE OLIVEIRA DART, CNPS; Universidade Federal Rural do Rio de Janeiro.
DART, R. de O.
COELHO, M. R.
MENDONÇA-SANTOS, M. L.
PARES, J. G.
BERBARA, R. L. L.
format Anais e Proceedings de eventos
topic_facet Digital Soil Mapping
Soil classes
Traditional techniques
author DART, R. de O.
COELHO, M. R.
MENDONÇA-SANTOS, M. L.
PARES, J. G.
BERBARA, R. L. L.
author_sort DART, R. de O.
title Digital soil mapping at Parque Estadual da Mata Seca, Minas Gerais state, Brazil: applying regression tree to predict soil classes.
title_short Digital soil mapping at Parque Estadual da Mata Seca, Minas Gerais state, Brazil: applying regression tree to predict soil classes.
title_full Digital soil mapping at Parque Estadual da Mata Seca, Minas Gerais state, Brazil: applying regression tree to predict soil classes.
title_fullStr Digital soil mapping at Parque Estadual da Mata Seca, Minas Gerais state, Brazil: applying regression tree to predict soil classes.
title_full_unstemmed Digital soil mapping at Parque Estadual da Mata Seca, Minas Gerais state, Brazil: applying regression tree to predict soil classes.
title_sort digital soil mapping at parque estadual da mata seca, minas gerais state, brazil: applying regression tree to predict soil classes.
publishDate 2011-01-19
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/873578
work_keys_str_mv AT dartrdeo digitalsoilmappingatparqueestadualdamatasecaminasgeraisstatebrazilapplyingregressiontreetopredictsoilclasses
AT coelhomr digitalsoilmappingatparqueestadualdamatasecaminasgeraisstatebrazilapplyingregressiontreetopredictsoilclasses
AT mendoncasantosml digitalsoilmappingatparqueestadualdamatasecaminasgeraisstatebrazilapplyingregressiontreetopredictsoilclasses
AT paresjg digitalsoilmappingatparqueestadualdamatasecaminasgeraisstatebrazilapplyingregressiontreetopredictsoilclasses
AT berbararll digitalsoilmappingatparqueestadualdamatasecaminasgeraisstatebrazilapplyingregressiontreetopredictsoilclasses
_version_ 1756026901017657344