V. Oliveira

发表

Smart and Customized Electrical Conductivity Sensor for Measurements of the Response Time from Sprayers Based on Direct Injection

Heitor V. Mercaldi, P. E. Cruvinel, C. H. Fujiwara, 2015 .

Risk Analysis for Weed Occurrence

M., V. Oliveira, '. M.Bressen, 2012 .

Herbicide Dosage Optimization Model for Weed Control Using the Resistance Dynamics

E. F. Costa, F. Pereira, V. Oliveira, 2013, 2013 8th EUROSIM Congress on Modelling and Simulation.

Optimal weed population control using nonlinear programming

G. N. Silva, V. Oliveira, D. Karam, 2017 .

Emulating a Sensor for the Measurements of the Hydraulic Resistances of Nozzles in Agricultural Sprayers Based on the Use of the Point-Wise Thévenin's Theorem

P. E. Cruvinel, R. F. Magossi, E. A. G. Penaloza, 2018 .

Using the Measurement-Based Approach to Emulate the Behavior of a Sensor for Internal Hydraulic Pressure Drop Measurements of Sprayers in the Agricultural Industry

P. E. Cruvinel, R. F. Magossi, E. A. G. Penaloza, 2017 .

Mathematical and biological analysis of the models for estimating culture yield losses due to weed interference

V. Oliveira, D. Karam, C. Adati, 2006 .

A classification methodology for the risk of weed infestation using fuzzy logic

Luciano Vieira Koenigkan, P. E. Cruvinel, V. Oliveira, 2008 .

Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop

Estevam R. Hruschka, Maria do Carmo Nicoletti, Vilma Alves de Oliveira, 2009, Eng. Appl. Artif. Intell..

BayesRule: A Markov-Blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers

Estevam R. Hruschka, Maria do Carmo Nicoletti, Vilma Alves de Oliveira, 2008, Int. J. Hybrid Intell. Syst..

Modeling and Predictive Control of a Variable-Rate Spraying System

Kleber R. Felizardo, Heitor V. Mercaldi, P. E. Cruvinel, 2013, 2013 8th EUROSIM Congress on Modelling and Simulation.

Optimal weed population control using nonlinear programming

G. Silva, V. Oliveira, D. Karam, 2015, Computational and Applied Mathematics.

An Intelligent and Customized Electrical Conductivity Sensor to Evaluate the Response Time of a Direct Injection System

Heitor V. Mercaldi, P. E. Cruvinel, E. A. G. Penaloza, 2015 .

Markov-Blanket Based Strategy for Translating a Bayesian Classifier into a Reduced Set of Classification Rules

Estevam R. Hruschka, Maria do Carmo Nicoletti, Vilma Alves de Oliveira, 2007, 7th International Conference on Hybrid Intelligent Systems (HIS 2007).

Soft-Sensor based on $k$-NN classifiers in Agricultural Pest Control

Heitor V. Mercaldi, Vilma A. Oliveira, P. E. Cruvinel, 2019, 2019 18th European Control Conference (ECC).

Risk prediction for weed infestation using classification rules

Maurílio Boaventura, Vilma Alves de Oliveira, Gláucia M. Bressan, 2009, 2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC).

Biomass Based Weed-Crop Competitiveness Classification Using Bayesian Networks

Estevam R. Hruschka, Maria do Carmo Nicoletti, Vilma Alves de Oliveira, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

A PROBABILITY-ESTIMATION-BASED STRATEGY TO OPTIMIZE THE CLASSIFICATION RULE SET EXTRACTED FROM BAYESIAN NETWORK CLASSIFIERS

Estevam R. Hruschka, M. C. Nicoletti, Glaucia M. Bressan, 2007 .

Using Soft Sensors as a Basis of an Innovative Architecture for Operation Planning and Quality Evaluation in Agricultural Sprayers

P. E. Cruvinel, E. A. G. Penaloza, V. Oliveira, 2021, Sensors.

An Advanced Model Based on Analytical and Computational Procedures for the Evaluation of Spraying Processes in Agriculture

Heitor V. Mercaldi, Elmer A. G. Penaloza, Vilma Alves de Oliveira, 2016, 2016 IEEE Tenth International Conference on Semantic Computing (ICSC).

Soft-sensor approach based on principal components analysis to improve the quality of the application of pesticides in agricultural pest control.

Vilma A. Oliveira, Elmer A. G. Penaloza, Paulo Estevão Cruvinel, 2018 .