|
|
| Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
07/12/2018 |
Data da última atualização: |
07/01/2020 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
FARHATE, C. V. V.; SOUZA, Z. M. de; OLIVEIRA, S. R. de M.; LOVERA, L. H.; OLIVEIRA, I. N. de; GUIMARÃES, E. M. |
Afiliação: |
CAMILA VIANA VIEIRA FARHATE, Feagri/Unicamp; ZIGOMAR MENEZES DE SOUZA, Feagri/Unicamp; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; LENON HERIQUE LOVERA, Feagri/Unicamp; INGRID NEHMI DE OLIVEIRA, Feagri/Unicamp; EURIANA MARIA GUIMARÃES, Feagri/Unicamp. |
Título: |
Data mining techniques for classification of soil CO2 emission. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS, 2018. |
Páginas: |
Não paginado. |
Idioma: |
Inglês |
Notas: |
WCSS 2018. |
Conteúdo: |
A high priority objective currently in the scope of carbon cycle science is to understand the spatial and temporal controls involved in CO2 dynamics in terrestrial ecosystems. However, estimates of CO2 emissions from soil to the atmosphere through production systems are difficult and complex due to the diversity of agricultural practices in large areas and significant variations in both soil and climate. In contrast, data mining is a promising alternative to predict soil CO2 emission from correlated variables. Thus, our objective was to construct a model using data mining techniques, such as selection of attributes and induction of decision trees to predict different levels of CO2 emissions in the soil. The original data set was composed of 23 attributes (22 predictive attributes and one response variable). The response variable refers to the emission of CO2 from the soil as the target of the classification. Due to the large number of attributes, a procedure for selecting attributes was conducted to remove those of low correlation to the response variable. For this purpose, we assessed four approaches to attribute selection: no attribute selection, correlation-based attribute selection (CFS), Chi-square method (χ2), and Wrapper method. For data classification, we used the binary decision tree induction technique on Weka 3.6 software. Our results demonstrated that the data mining techniques allowed the development of an efficient model to classify soil CO2 emission using the Wrapper method of attribute selection as well as algorithm C4.5 for induction of the decision tree. Wrapper method selected an efficient subset for soil respiration prediction with only five attributes, with the following influence order on the determination of soil CO2 emission: soil temperature> rainfall> macroporosity> soil moisture> potential acidity. The attributes selected through the Wrapper method have high coherence with literature data regarding both the selected attributes and the decision tree rules. MenosA high priority objective currently in the scope of carbon cycle science is to understand the spatial and temporal controls involved in CO2 dynamics in terrestrial ecosystems. However, estimates of CO2 emissions from soil to the atmosphere through production systems are difficult and complex due to the diversity of agricultural practices in large areas and significant variations in both soil and climate. In contrast, data mining is a promising alternative to predict soil CO2 emission from correlated variables. Thus, our objective was to construct a model using data mining techniques, such as selection of attributes and induction of decision trees to predict different levels of CO2 emissions in the soil. The original data set was composed of 23 attributes (22 predictive attributes and one response variable). The response variable refers to the emission of CO2 from the soil as the target of the classification. Due to the large number of attributes, a procedure for selecting attributes was conducted to remove those of low correlation to the response variable. For this purpose, we assessed four approaches to attribute selection: no attribute selection, correlation-based attribute selection (CFS), Chi-square method (χ2), and Wrapper method. For data classification, we used the binary decision tree induction technique on Weka 3.6 software. Our results demonstrated that the data mining techniques allowed the development of an efficient model to classify soil CO2 emission using... Mostrar Tudo |
Palavras-Chave: |
Árvore de decisão; Data mining; Decision tree; Emissão de gás carbônico; Mineração de dados; Selection of attributes; Soil attributes. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02929nam a2200277 a 4500 001 2100970 005 2020-01-07 008 2018 bl uuuu u00u1 u #d 100 1 $aFARHATE, C. V. V. 245 $aData mining techniques for classification of soil CO2 emission.$h[electronic resource] 260 $aIn: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS$c2018 300 $aNão paginado. 500 $aWCSS 2018. 520 $aA high priority objective currently in the scope of carbon cycle science is to understand the spatial and temporal controls involved in CO2 dynamics in terrestrial ecosystems. However, estimates of CO2 emissions from soil to the atmosphere through production systems are difficult and complex due to the diversity of agricultural practices in large areas and significant variations in both soil and climate. In contrast, data mining is a promising alternative to predict soil CO2 emission from correlated variables. Thus, our objective was to construct a model using data mining techniques, such as selection of attributes and induction of decision trees to predict different levels of CO2 emissions in the soil. The original data set was composed of 23 attributes (22 predictive attributes and one response variable). The response variable refers to the emission of CO2 from the soil as the target of the classification. Due to the large number of attributes, a procedure for selecting attributes was conducted to remove those of low correlation to the response variable. For this purpose, we assessed four approaches to attribute selection: no attribute selection, correlation-based attribute selection (CFS), Chi-square method (χ2), and Wrapper method. For data classification, we used the binary decision tree induction technique on Weka 3.6 software. Our results demonstrated that the data mining techniques allowed the development of an efficient model to classify soil CO2 emission using the Wrapper method of attribute selection as well as algorithm C4.5 for induction of the decision tree. Wrapper method selected an efficient subset for soil respiration prediction with only five attributes, with the following influence order on the determination of soil CO2 emission: soil temperature> rainfall> macroporosity> soil moisture> potential acidity. The attributes selected through the Wrapper method have high coherence with literature data regarding both the selected attributes and the decision tree rules. 653 $aÁrvore de decisão 653 $aData mining 653 $aDecision tree 653 $aEmissão de gás carbônico 653 $aMineração de dados 653 $aSelection of attributes 653 $aSoil attributes 700 1 $aSOUZA, Z. M. de 700 1 $aOLIVEIRA, S. R. de M. 700 1 $aLOVERA, L. H. 700 1 $aOLIVEIRA, I. N. de 700 1 $aGUIMARÃES, E. M.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
Registro Completo
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
29/11/1993 |
Data da última atualização: |
15/06/2022 |
Tipo da produção científica: |
Comunicado Técnico/Recomendações Técnicas |
Autoria: |
MARTINEZ, G. B.; CARVALHO, L. O. D. de M.; COSTA, N. A. da; NASCIMENTO, C. N. B. do. |
Afiliação: |
GLADYS BEATRIZ MARTINEZ, CPATU; LUIZ OCTAVIO DANIN DE M CARVALHO, CPATU; NORTON AMADOR DA COSTA, CPATU; CRISTO NAZARE BARBOSA DO NASCIMENTO, CPATU. |
Título: |
Utilização do cultivador de tração animal para limpeza em capineira e cultura de subsistência. |
Ano de publicação: |
1983 |
Fonte/Imprenta: |
Belém, PA: EMBRAPA-CPATU, 1983. |
Páginas: |
3 p. |
Série: |
(EMBRAPA-CPATU. Comunicado técnico, 40). |
Idioma: |
Português |
Conteúdo: |
Este estudo foi desenvolvido na sede do CPATU, em Belém-Pará, utilizando o cultivador manual, tendo como fonte de tração um búfalo da raça Mediterrâneo com peso aproximado de 480 kg, manejado por apenas um homem, que executou o serviço de limpeza em uma capineira plantada em linhas distanciadas de 0,80 metro. |
Palavras-Chave: |
Agricultural equipment; Belém; Brasil; Capineiras; Controle; Cultura temporaria; Culturas de subsistencia; Draft animal; Implantacao; Meadow; Pará; Planta Daninha; Temporary crop. |
Thesagro: |
Capina Mecânica; Capineira; Cultivador Manual; Equipamento; Equipamento Agrícola; Erva Daninha; Mecanização; Rendimento; Tração Animal. |
Thesaurus NAL: |
Amazonia. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/59120/1/CPATU-ComTec40.pdf
|
Marc: |
LEADER 01524nam a2200445 a 4500 001 1382715 005 2022-06-15 008 1983 bl uuuu u0uu1 u #d 100 1 $aMARTINEZ, G. B. 245 $aUtilização do cultivador de tração animal para limpeza em capineira e cultura de subsistência. 260 $aBelém, PA: EMBRAPA-CPATU$c1983 300 $a3 p. 490 $a(EMBRAPA-CPATU. Comunicado técnico, 40). 520 $aEste estudo foi desenvolvido na sede do CPATU, em Belém-Pará, utilizando o cultivador manual, tendo como fonte de tração um búfalo da raça Mediterrâneo com peso aproximado de 480 kg, manejado por apenas um homem, que executou o serviço de limpeza em uma capineira plantada em linhas distanciadas de 0,80 metro. 650 $aAmazonia 650 $aCapina Mecânica 650 $aCapineira 650 $aCultivador Manual 650 $aEquipamento 650 $aEquipamento Agrícola 650 $aErva Daninha 650 $aMecanização 650 $aRendimento 650 $aTração Animal 653 $aAgricultural equipment 653 $aBelém 653 $aBrasil 653 $aCapineiras 653 $aControle 653 $aCultura temporaria 653 $aCulturas de subsistencia 653 $aDraft animal 653 $aImplantacao 653 $aMeadow 653 $aPará 653 $aPlanta Daninha 653 $aTemporary crop 700 1 $aCARVALHO, L. O. D. de M. 700 1 $aCOSTA, N. A. da 700 1 $aNASCIMENTO, C. N. B. do
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Amazônia Oriental (CPATU) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Expressão de busca inválida. Verifique!!! |
|
|