Diseño de un modelo de aprendizaje automático supervisado para la optimización de fertirriegos dentro de una plantación de mango en Chimichagua Cesar
| dc.contributor.advisor | Noguera Polania, Jose Fernando | |
| dc.contributor.advisor | Galpin, Ixent | |
| dc.contributor.advisor | Guevara-Barbosa, Pablo | |
| dc.contributor.author | Puerto Garcia, Juan David | |
| dc.date.accessioned | 2024-08-27T13:45:02Z | |
| dc.date.available | 2024-08-27T13:45:02Z | |
| dc.date.created | 2024-08-26 | |
| dc.description.abstract | Contando con información real de un cultivo de mangos ubicado en Chimichagua, Cesar, 1 Colombia, se hace indispensable optimizar sus tiempos de producción desde el ámbito del riego y el 2 uso de fertilizantes. Para ello, se diseña un modelo de machine learning que, a partir de inferencias, 3 pueda contribuir en la toma de decisiones. Para el diseño, se utiliza la metodología CRISP-DM sobre 4 la data adquirida. Al final, se selecciona el mejor modelo, optando por una red neuronal LSTM, que 5 permite realizar predicciones a multiples variables. | spa |
| dc.description.abstractenglish | Using real data from a mango crop located in Chimichagua, Cesar, Colombia, it is essential to optimize production times in terms of irrigation and fertilizer use. For this purpose, a machine learning model is designed to aid decision-making through inferences. The CRISP-DM methodology is applied to the acquired data for the model design. Ultimately, the best model is selected, opting for an LSTM neural network, which allows for multi-variable predictions. | spa |
| dc.format.extent | 17 páginas | spa |
| dc.format.mimetype | application/pdf | spa |
| dc.identifier.uri | https://hdl.handle.net/20.500.12010/35474 | |
| dc.language.iso | eng | spa |
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| dc.subject | Fertirrigación | |
| dc.subject | CRISP-DM | |
| dc.subject | Aprendizaje automático | |
| dc.subject | LSTM. | |
| dc.subject | Optimización | spa |
| dc.subject.keyword | Fertigation | |
| dc.subject.keyword | CRISP-DM | |
| dc.subject.keyword | Machine learning | |
| dc.subject.keyword | LSTM. | |
| dc.subject.keyword | Optimization | spa |
| dc.subject.lemb | Mango-Cultivo-Optimización | |
| dc.subject.lemb | Machine learning - Aplicaciones en agricultura | |
| dc.subject.lemb | Redes neuronales (Informática) - Aplicaciones en agricultura | |
| dc.title | Diseño de un modelo de aprendizaje automático supervisado para la optimización de fertirriegos dentro de una plantación de mango en Chimichagua Cesar | spa |
| dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | spa |
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