Bressan, Gláucia Maria; Oliveira, Vilma Alves de 
; Hruschka Junior, Estevam Rafael ; Nicoletti, Maria do Carmo
Source: Engineering Applications of Artificial Intelligence. Unidade: EESC
Subjects: PLANTAS DANINHAS, KRIGAGEM
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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: https://doi.org/10.1016/j.engappai.2009.03.006. Acesso em: 05 dez. 2025.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.2009.03.006NLM
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 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2009.03.006Vancouver
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 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2009.03.006
