lintosunny/Omdena-Impact-of-Climate-Change-on-Maize-Agricultural-Yield-in-Kenya

# Impact of Climate Change on Maize Agricultural Yield in Kenya This project addresses the critical challenge of declining maize yields in Kenya due to climate change. By leveraging machine learning techniques, we aim to develop a predictive model that accurately forecasts maize yields based on climate variables and other relevant factors. This model will empower Kenyan farmers, policymakers, and researchers with data-driven insights to make informed decisions about crop management, resource allocation, and adaptation strategies, ensuring food security and economic stability in the face of a changing climate. App: omdena-maize-agricultural-y… **Project Duration:** July 31, 2024 – October 31, 2024 ## Table of Contents - Problem Statement - Project Objectives - Project Methodology - Project Deliverables - Project Timeline - Conclusion ## Problem Statement Maize, the staple food crop in Kenya, faces significant threats from climate change. Shifting weather patterns, including unpredictable rainfall, increased temperatures, and extreme weather events, disrupt traditional planting seasons and negatively impact crop yields. This poses a severe risk to food security, economic stability, and the livelihoods of millions of Kenyan farmers who depend on maize production. ## Project Objectives - **Develop a robust machine learning model:** Predict maize yields in Kenya with high accuracy based on historical and real-time climate data, soil data, and other relevant agricultural factors. - **Identify key climate variables:** Quantify the impact of specific climate factors on maize yields to enable targeted adaptation strategies. - **Empower stakeholders with actionable insights:** Deliver user-friendly tools and resources based on model predictions to assist farmers, policymakers, and researchers in making informed decisions related to planting schedules, crop management, and resource allocation. ## Project Methodology ### Phase 1: …