jvashiri/maize-yield-prediction

Machine Learning powered maize yield prediction system for smallholder farmers in Zimbabwe." # maize-yield-prediction Machine Learning powered maize yield prediction system for smallholder farmers in Zimbabwe." A machine learning-based system designed to predict maize crop yields for smallholder farmers in Zimbabwe. The project leverages historical weather and soil data to assist farmers in making informed agricultural decisions, aiming to contribute towards restoring Zimbabwe as the "breadbasket of Africa." # Project Overview This system predicts expected maize yield based on: - Historical weather data - Soil characteristics - Regional farming practices ### Objectives - Improve smallholder farmer productivity - Provide affordable, data-driven decision support - Leverage AI/ML for agricultural sustainability in Africa ## 🛠 Technologies Used - **Python 3.x** - **Pandas**, **NumPy**, **Scikit-Learn**, **Matplotlib/Seaborn** - **Jupyter Notebook** - Data sourced from **Kaggle** and other open datasets