Comparison Between Machine Learning Models for Yield Forecast in Cocoa Crops in Santander, Colombia
The identification of influencing factors in crop yield (kg·ha-1) provides essential information for decision-making processes related to the prediction and improvement of productivity, which gives farmers the opportunity to increase their income. The current study investigates the application of mu...
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| Format: | Online |
| Sprache: | eng spa |
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Universidad Pedagógica y Tecnológica de Colombia
2020
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| Online Zugang: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/10853 |
