Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop (2009)
- Authors:
- USP affiliated author: OLIVEIRA, VILMA ALVES DE - EESC
- School: EESC
- DOI: 10.1016/j.engappai.2009.03.006
- Subjects: PLANTAS DANINHAS; KRIGAGEM
- Language: Inglês
- Imprenta:
- Place of publication: Kidlington
- Date published: 2009
- Source:
- Título do periódico: Engineering Applications of Artificial Intelligence
- ISSN: 0952-1976
- Volume/Número/Paginação/Ano: v. 22, n. 4-5, p. 579-592, June 2009
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BRESSAN, Gláucia Maria et al. Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop. Engineering Applications of Artificial Intelligence, v. 22, n. 4-5, p. 579-592, 2009Tradução . . Disponível em: http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6V2M-4W91CJY-1-R&_cdi=5706&_user=5674931&_orig=browse&_coverDate=06%2F30%2F2009&_sk=999779995&view=c&wchp=dGLbVtb-zSkWz&md5=b6d1883c2e74dee4d6627aa7799eb398&ie=/sdarticle.p. Acesso em: 09 ago. 2022. -
APA
Bressan, G. M., Oliveira, V. A. de, Hruschka Junior, E. R., & Nicoletti, M. do C. (2009). Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop. Engineering Applications of Artificial Intelligence, 22( 4-5), 579-592. doi:10.1016/j.engappai.2009.03.006 -
NLM
Bressan GM, Oliveira VA de, Hruschka Junior ER, Nicoletti M do C. Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop [Internet]. Engineering Applications of Artificial Intelligence. 2009 ; 22( 4-5): 579-592.[citado 2022 ago. 09 ] Available from: http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6V2M-4W91CJY-1-R&_cdi=5706&_user=5674931&_orig=browse&_coverDate=06%2F30%2F2009&_sk=999779995&view=c&wchp=dGLbVtb-zSkWz&md5=b6d1883c2e74dee4d6627aa7799eb398&ie=/sdarticle.p -
Vancouver
Bressan GM, Oliveira VA de, Hruschka Junior ER, Nicoletti M do C. Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop [Internet]. Engineering Applications of Artificial Intelligence. 2009 ; 22( 4-5): 579-592.[citado 2022 ago. 09 ] Available from: http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6V2M-4W91CJY-1-R&_cdi=5706&_user=5674931&_orig=browse&_coverDate=06%2F30%2F2009&_sk=999779995&view=c&wchp=dGLbVtb-zSkWz&md5=b6d1883c2e74dee4d6627aa7799eb398&ie=/sdarticle.p - Extremal results for algebraic linear interval systems
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- State feedback fuzzy-model-based control for Markovian jump nonlinear systems
- A classification methodology for the risk of weed infestation using fuzzy logic
- PI stabilization of a class of time delay systems
- On the stabilizing of markovian jump nonlinear systems: a fuzzy-model-based control approach
- Estimação de parâmetros de modelos de populações de plantas daninhas usando o método de Monte Carlo em cadeia de Markov
- Extração de regras de associação otimizadas para atributos da infestação de culturas por plantas daninhas utilizando redes Bayesianas
- Magnetic levitation system: dynamic models, electromagnet design analysis and experimental results
- Evolução da resistência de plantas daninhas a herbicidas
Informações sobre o DOI: 10.1016/j.engappai.2009.03.006 (Fonte: oaDOI API)
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