Chapter

Current Topics in Artificial Intelligence

Volume 4788 of the series Lecture Notes in Computer Science pp 229-238

Olive Fly Infestation Prediction Using Machine Learning Techniques

  • José del SagradoAffiliated withDpt. of Languages and Computation, University of Almería, 04120 Almería
  • , Isabel María del ÁguilaAffiliated withDpt. of Languages and Computation, University of Almería, 04120 Almería

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Abstract

This article reports on a study on olive-fly infestation prediction using machine learning techniques. . The purpose of the work was, on the one hand, to make accurate predictions and, on the other, to verify whether the Bayesian network techniques are competitive with respect to classification trees. We have applied the techniques to a dataset and, in addition, performed a previous phase of variables selection to simplify the complexity of the classifiers. The results of the experiments show that Bayesians networks produce valid predictors, although improved definition of dependencies and refinement of the variables selection methods are required.

Keywords

Data mining Bayesian Networks Knowledge Based Systems Integrated Production