tiekusamuel/cocoa-prediction-model

machine learning based analysis on cocoa yield prediction in Ghana using climatic and soil data. # 🍫 Cocoa Yield Prediction Dashboard - Setup Guide ## Quick Start Guide for Beginners This dashboard helps you predict cocoa yields in Ghana based on climate and soil conditions. Follow these simple steps to get started! --- ## 📋 Prerequisites You need Python installed on your computer. Download it from python.org if you don't have it yet. --- ## 🚀 Installation Steps ### Step 1: Install Required Libraries Open your terminal/command prompt and run: ```bash pip install streamlit pandas numpy plotly xgboost scikit-learn ``` This installs all the necessary libraries: - **streamlit**: Creates the web interface - **pandas**: Handles data - **numpy**: Mathematical operations - **plotly**: Interactive charts - **xgboost**: Machine learning model - **scikit-learn**: Model training tools ### Step 2: Prepare Your Data Make sure you have a file called `cocoa_data.csv` in the same folder as the dashboard script. **Required columns in your CSV:** - `rainfall` (mm) - `temp_min` (°C) - `temp_max` (°C) - `solar_radiation` (MJ/m²) - `soil_ph` - `phosphorus` (ppm) - `nitrogen` (ppm) - `yield_kg_ha` (target variable - cocoa yield in kg per hectare) **Example CSV structure:** ```csv rainfall,temp_min,temp_max,solar_radiation,soil_ph,phosphorus,nitrogen,yield_kg_ha 1200,22.5,30.2,18.5,6.2,45,120,850 1350,21.8,29.8,19.2,6.5,52,135,920 ... ``` ### Step 3: Run the Dashboard Navigate to the folder containing your script and CSV file, then run: ```bash streamlit run cocoa_yield_dashboard.py ``` The dashboard will automatically open in your web browser at `http:/tie/localhost:8501` --- ## 🎯 How to Use the Dashboard 1. **Adjust Sliders**: Use the sidebar on the left to change climate and soil parameters 2. **View Predictions**: See the predicted yield update instantly in the main panel 3. **Explore Charts**: - Feature Importance shows which factors matter most - Sensitivity Analysis shows how rainfall affects yield 4. **Optimize**: Find the best conditions for maximum yiel …