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Tecciencia

Print version ISSN 1909-3667

Abstract

BAZURTO, Nychol; MARTINEZ, Carlos  and  ESPITIA, Helbert. Comparison Between Fuzzy, Neuro-Fuzzy and Neural Network Models To Estimate the Expansion of Coffee Berry Borer in Colombian Coffee Crops. Tecciencia [online]. 2017, vol.12, n.23, pp.19-24. ISSN 1909-3667.  http://dx.doi.org/10.18180/tecciencia.2017.23.3.

In this paper we carry out a comparison among different techniques applied to simulation and representation of the expansion of the coffee berry borer in the Colombian coffee crops. First, we make a brief description of techniques: neural networks, neuro-fuzzy and fuzzy logic. Then, the models implementation is described and finally, we shown the comparison among these models, highlighting performance of neural networks.

Keywords : Neural Networks; Fuzzy Logic; Coffee Berry Borer; Expansion.

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