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Volume 14
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10.3390/computers14050168
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Article

Model for Agricultural Production in Colombia Using a Neuro-Fuzzy Inference System

by
Andrea C. Gómez
*,
Lilian A. Bejarano
and
Helbert E. Espitia
Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá 110231, Colombia
*
Author to whom correspondence should be addressed.
Computers 2025, 14(5), 168; https://doi.org/10.3390/computers14050168
Submission received: 3 April 2025 / Revised: 27 April 2025 / Accepted: 28 April 2025 / Published: 1 May 2025
Versions Notes

Abstract

As mentioned by the Food and Agriculture Organization of the United Nations, agriculture has a primary role in food security. Given the advantageous conditions that Colombia has as a biodiverse country, creating and implementing sustainable and comprehensive agricultural systems is essential to generate agricultural decision-making tools. Therefore, this paper displays the design and deployment (training–validation) of a neuro-fuzzy model for the relevant agricultural production in Colombia. Four different configurations are proposed according to the data collected and the variables identified. The results show that a remarkable prediction of the models (configurations) is achieved by using training and validation data.
Keywords: agriculture; exportation; model; production; products agriculture; exportation; model; production; products

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MDPI and ACS Style

Gómez, A.C.; Bejarano, L.A.; Espitia, H.E. Model for Agricultural Production in Colombia Using a Neuro-Fuzzy Inference System. Computers 2025, 14, 168. https://doi.org/10.3390/computers14050168

AMA Style

Gómez AC, Bejarano LA, Espitia HE. Model for Agricultural Production in Colombia Using a Neuro-Fuzzy Inference System. Computers. 2025; 14(5):168. https://doi.org/10.3390/computers14050168

Chicago/Turabian Style

Gómez, Andrea C., Lilian A. Bejarano, and Helbert E. Espitia. 2025. "Model for Agricultural Production in Colombia Using a Neuro-Fuzzy Inference System" Computers 14, no. 5: 168. https://doi.org/10.3390/computers14050168

APA Style

Gómez, A. C., Bejarano, L. A., & Espitia, H. E. (2025). Model for Agricultural Production in Colombia Using a Neuro-Fuzzy Inference System. Computers, 14(5), 168. https://doi.org/10.3390/computers14050168

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