joeljenkinsekisa/Kenya_Agricultural_Intelligence_Food_Security_Analytics

An end-to-end Agricultural Intelligence and Food Security Analytics project combining statistical analysis, machine learning forecasting, climate intelligence, and Power BI dashboards to support data-driven agricultural planning and county-level intervention strategies in Kenya. # Kenya Agricultural Intelligence & Food Security Analytics ## Project Overview Agriculture remains the backbone of Kenya's economy, yet the sector faces increasing challenges from climate variability, food insecurity, declining productivity, and resource constraints. This project leverages data analytics, statistical modeling, machine learning, and business intelligence to provide actionable insights into agricultural productivity, climate risk, food security, and crop performance across Kenyan counties. The project integrates agricultural production data, rainfall patterns, climate indicators, food security metrics, and forecasting models to identify vulnerable regions, predict future trends, and support evidence-based decision-making. --- ## Project Objectives * Assess agricultural productivity across counties. * Measure climate-related risks affecting food production. * Forecast future agricultural and climate trends. * Evaluate county-level food security vulnerability. * Identify priority counties for intervention. * Support strategic agricultural planning using predictive analytics. --- ## Tools & Technologies ### Data Analysis * Python * Pandas * NumPy ### Statistical Analysis * Pearson Correlation * Spearman Correlation * ANOVA Testing ### Machine Learning * Linear Regression * Random Forest * XGBoost Forecasting ### Visualization * Power BI * DAX * Power Query --- ## Dataset Overview The dataset contains agricultural, climate, production, and food security indicators across multiple Kenyan counties, including: * Crop Production * Yield (MT/Ha) * Harvested Area * Rainfall * Temperature * Population * Food Security Gap * Climate Risk Indicators * County Risk Scores --- # Dashboard 1: Executive Agricultural Overview ## Purpose Provides a national-level overview of agricultural productivity, crop performance, food security status, and county risk exposure. ## Key KPIs * Total Production (MT) * Average Yield (MT/Ha) * Average Risk Sc …