olanix2002/Leveraging-machine-learning-to-improve-crop-yield-for-smallholder-farmer-in-sub-sahara-africa

# Leveraging Machine Learning to Improve Crop Yield for Smallholder Farmers in Sub-Saharan Africa ## Table of Contents - Introduction - Project Overview - Dataset - Crop Selection - Country Selection - Machine Learning Models - Usage - Results - Contributing - License ## Introduction This project aims to leverage machine learning techniques to improve crop yield for smallholder farmers in Sub-Saharan Africa. The project utilizes data from the Food and Agriculture Organization (FAO) and the World Bank to build predictive models that can help optimize agricultural practices and increase crop production for the selected crops in the chosen countries. ## Project Overview Agriculture plays a vital role in the economies of many Sub-Saharan African countries, and smallholder farmers form the backbone of the agricultural sector. However, they often face challenges such as limited access to advanced agricultural technologies and resources, unpredictable weather patterns, and inefficient farming practices, which can lead to suboptimal crop yields. This project aims to address these challenges by developing machine learning models that can analyze historical crop yield data, weather patterns, soil characteristics, and other relevant factors to provide insights and recommendations for optimizing crop production. ## Dataset The dataset used in this project was obtained from the Food and Agriculture Organization (FAO) and the World Bank. It includes historical crop yield data, weather data, soil information, and other relevant agricultural indicators for the selected countries. ## Crop Selection The following crops have been considered for analysis in this project: 1. Maize 2. Rice 3. Tomatoes 4. Potatoes 5. Seed cotton 6. Wheat 7. Soya beans 8. Coffee 9. Cocoa beans 10. Yams 11. Bananas These crops were chosen based on their significance in the agricultural practices of Sub-Saharan African countries and their potential impact on food security and economic growth. # …