Drought prediction in Algeria

Domaine:

climateagriculture

Type de record:

datasetsoftware

Créateur:

BOU

Éditeur:

Hôte:

This repository contains the complete dataset and analytical workflow to reproduce the results of the study "Comparative Machine Learning Modeling for Agricultural Drought Prediction in Algeria Using SHAP-Based Sensitivity Analysis". The research focuses on developing and evaluating machine learning models (e.g., ANN, SVM, Random Forest) for predicting meteorological drought using the Standardized Precipitation Index (SPI) across four regions in Algeria: Sétif, Oum El Bouaghi, Tiaret, and Sidi Bel Abbès.

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NESTLER - Drought Prediction Dataset

This dataset was created under NESTLER (oNe hEalth SusTainabiLity partnership between EU-AFRICA for