moualialami/moroccan-barley-ml

Machine Learning comparison of 4 algorithms (Random Forest, Gradient Boosting, Decision Tree, Linear Regression) for predicting barley yields in Morocco. Includes complete data pipeline from preprocessing to model evaluation. Built with Python and scikit-learn. # 🌾 Barley Yield Prediction Using Machine Learning (Synthetic Educational Project) This project demonstrates how machine learning can be applied to predict **barley yields** using synthetic but realistic agronomic data inspired by Moroccan farming systems. > ⚠️ **Disclaimer:** The data used here is fully synthetic and intended for educational and demonstration purposes only. Do not use it for operational agricultural decisions. --- ## Project Summary This repository provides a full ML pipeline to simulate precision agriculture applications, specifically for barley yield prediction, using realistic input variables: - **Environmental conditions** (temperature, rainfall, soil pH) - **Soil nutrients** (N, P, K, organic matter) - **Farm management** (fertilizer rates, seed density, crop variety) - **Geographical context** (regions, soil types) **Goal**: Showcase how data science can support data-driven decision-making in dryland agriculture. --- ## Key Features - End-to-end pipeline: data cleaning → feature engineering → ML modeling - Comparative analysis of 4 ML models - Explainable AI: Feature importance analysis & interpretability - Modular codebase ready for real-world adaptation - Structured for clarity and reproducibility --- ## Dataset Overview Synthetic dataset with **1500 observations** and realistic ranges for Moroccan agronomy. ### Categorical Features | Feature | Description | Sample Values | |----------------|----------------------------------|------------------------------------------| | `region` | Barley production region | Chaouia, Fès-Boulemane, Gharb, etc. | | `soil_type` | Soil classification | Vertisol, Clay, Loam, Sandy | | `barley_variety`| Barley cultivar used | Khnata, Assiya, Amira, Chifaa, Massine | ### Numerical Features | Feature | Unit | Description | …