Author:
Bressan Gláucia M.,Oliveira Vilma A.,Hruschka Estevam R.,Nicoletti Maria C.
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference38 articles.
1. Weed and crop discrimination using image analysis and artificial intelligence methods;Aitkenhead;Computers and Electronics in Agriculture,2003
2. Modelling replicated weed growth data using spatially-varying growth curves;Banerjee;Environmental and Ecological Statistics,2005
3. A classification methodology for the risk of weed infestation using fuzzy logic;Bressan;Weed Research,2008
4. Bressan, G.M., Oliveira, V.A., Hruschka, E.R.J., Nicoletti, M.C., 2007a. Biomass based weed–crop competitiveness classification using Bayesian networks. In: Seventh International Conference on Intelligent Systems Design and Applications, IEEE Press, Rio de Janeiro, pp. 121–126.
5. Bressan, G.M., Oliveira, V.A., Hruschka, E.R.J., Nicoletti, M.C., 2007b. A probability estimation based strategy to optimize the classification rule set extracted from Bayesian network classifiers. In: VIII Simpósio Brasileiro de Automaçao Inteligente, Florianópolis, paper ID 30651-1.
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