Model for Agricultural Production in Colombia Using a Neuro-Fuzzy Inference System
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 gene...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Computers |
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| Online Access: | https://www.mdpi.com/2073-431X/14/5/168 |
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| author | Andrea C. Gómez Lilian A. Bejarano Helbert E. Espitia |
| author_facet | Andrea C. Gómez Lilian A. Bejarano Helbert E. Espitia |
| author_sort | Andrea C. Gómez |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a6daefc347f14c54b08d05be7cbf4338 |
| institution | DOAJ |
| issn | 2073-431X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computers |
| spelling | doaj-art-a6daefc347f14c54b08d05be7cbf43382025-08-20T03:14:41ZengMDPI AGComputers2073-431X2025-05-0114516810.3390/computers14050168Model for Agricultural Production in Colombia Using a Neuro-Fuzzy Inference SystemAndrea C. Gómez0Lilian A. Bejarano1Helbert E. Espitia2Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá 110231, ColombiaFacultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá 110231, ColombiaFacultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá 110231, ColombiaAs 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.https://www.mdpi.com/2073-431X/14/5/168agricultureexportationmodelproductionproducts |
| spellingShingle | Andrea C. Gómez Lilian A. Bejarano Helbert E. Espitia Model for Agricultural Production in Colombia Using a Neuro-Fuzzy Inference System Computers agriculture exportation model production products |
| title | Model for Agricultural Production in Colombia Using a Neuro-Fuzzy Inference System |
| title_full | Model for Agricultural Production in Colombia Using a Neuro-Fuzzy Inference System |
| title_fullStr | Model for Agricultural Production in Colombia Using a Neuro-Fuzzy Inference System |
| title_full_unstemmed | Model for Agricultural Production in Colombia Using a Neuro-Fuzzy Inference System |
| title_short | Model for Agricultural Production in Colombia Using a Neuro-Fuzzy Inference System |
| title_sort | model for agricultural production in colombia using a neuro fuzzy inference system |
| topic | agriculture exportation model production products |
| url | https://www.mdpi.com/2073-431X/14/5/168 |
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