Can I read Rain Prediction Optimization for Agriculture on EtoBox?
Rain Prediction Optimization for Agriculture by ALIF AZHABI is a document available to read on EtoBox.
What is Rain Prediction Optimization for Agriculture about?
The research focuses on optimizing a rain prediction model for the agriculture sector in Indonesia using the Random Forest algorithm and Grid Search Cross-Validation. By tuning parameters, the study achieved an R-squared value improvement from 0.1334 to 0.0268, representing a 79.91% increase in prediction accuracy. The findings suggest that enhanced rainfall predictions can significantly benefit agricultural practices by informing irrigation and planting schedules.
- Author
- ALIF AZHABI
- Language
- EN