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Biblioteca(s): |
Embrapa Meio-Norte. |
Data corrente: |
31/01/2018 |
Data da última atualização: |
13/12/2023 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
CALÇADA, D. B.; REZENDE, S. O.; TEODORO, M. S. |
Afiliação: |
DARIO BRITO CALÇADA, Universidade de São Paulo, São Carlos - SP- Brazil; SOLANGE OLIVEIRA REZENDE, Universidade de São Paulo, São Carlos - SP- Brazil; MAURO SERGIO TEODORO, CPAMN. |
Título: |
Analysis of decomposition parameters of green manure in the Brazilian Northeast with Association Rules Networks. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
In: CONFERENCE ON AGRO BIG DATA AND DECISION SUPPORT SYSTEMS IN AGRICULTURE, 2017, Montevideo. Anais... Montevideo: Universitat de Lleiva: Universidad de la República de Uruguay, 2017. |
Idioma: |
Inglês |
Conteúdo: |
Modern agricultural processes are increasingly looking at the use of chemicals, so the constant search for organic alternatives to fertilization becomes frequent. The use of data mining using association rule networks (ARN) can aid in the analysis of the parameters involved in choosing which plant to use as green manure. In this work, an analysis of the parameters of green manures used in the Brazilian Northeast is presented, demonstrating the applicability of the computational technique as well as its use to gain in productivity. |
Palavras-Chave: |
Adubos verdes. |
Thesagro: |
Produto. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/171971/1/ArtigoMauroSergioTeodoroBigDssAgroSep2017.pdf
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Marc: |
LEADER 01176nam a2200157 a 4500 001 2086808 005 2023-12-13 008 2017 bl uuuu u00u1 u #d 100 1 $aCALÇADA, D. B. 245 $aAnalysis of decomposition parameters of green manure in the Brazilian Northeast with Association Rules Networks.$h[electronic resource] 260 $aIn: CONFERENCE ON AGRO BIG DATA AND DECISION SUPPORT SYSTEMS IN AGRICULTURE, 2017, Montevideo. Anais... Montevideo: Universitat de Lleiva: Universidad de la República de Uruguay$c2017 520 $aModern agricultural processes are increasingly looking at the use of chemicals, so the constant search for organic alternatives to fertilization becomes frequent. The use of data mining using association rule networks (ARN) can aid in the analysis of the parameters involved in choosing which plant to use as green manure. In this work, an analysis of the parameters of green manures used in the Brazilian Northeast is presented, demonstrating the applicability of the computational technique as well as its use to gain in productivity. 650 $aProduto 653 $aAdubos verdes 700 1 $aREZENDE, S. O. 700 1 $aTEODORO, M. S.
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Embrapa Meio-Norte (CPAMN) |
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