dralaraby7-eng/Smart-Agriculture-Egypt-Data-Analysis

Data Analytics project analyzing Egypt agriculture using FAOSTAT data with Power BI and Python # 🌱 Egypt Agriculture Analytics - FAOSTAT ## 📌 Project Overview This project analyzes **25 years of agricultural data in Egypt** using FAOSTAT datasets, focusing on: * 🌾 Crop production & yield * 🌧 Rainfall & temperature impact * 🌍 CO2 emissions * 🌱 Fertilizer usage * 👥 Population growth * 🧑‍🌾 Arable land The goal is to provide **data-driven insights for sustainable agriculture and food security**. --- ## 🎯 Objectives * Analyze agricultural trends in Egypt * Measure efficiency of water and fertilizer usage * Study climate impact on crop production * Evaluate sustainability indicators * Support decision-making using data --- ## 🛠 Tools & Technologies * Power BI (Dashboard & Data Modeling) * Python (Data Analysis & Prediction) * Pandas, Scikit-learn * FAOSTAT Dataset --- ## 📊 Dashboard Features * KPI Tracking (Yield, Efficiency, Growth) * Climate Impact Analysis * Crop Performance Comparison * Sustainability Metrics * Food Security Indicators --- ## 🤖 AI Component A simple **Smart Agriculture Chatbot** was developed to: * Recommend irrigation decisions * Suggest suitable crops * Predict crop yield --- ## 📂 Project Structure ``` data/ → dataset files powerbi/ → Power BI dashboard python/ → analysis & ML scripts report/ → final report images/ → dashboard screenshots ``` --- ## 📸 Dashboard Preview --- ## 🚀 Key Insights * Agricultural productivity is strongly influenced by rainfall and temperature * Fertilizer efficiency varies across crops * CO2 emissions are increasing alongside production * Population growth creates pressure on food supply --- ## 📈 Future Improvements * Real-time data integration * Advanced machine learning models * Deployment as web application --- ## 👨‍💻 Author Graduation Project - Data Analytics Track --- ## ⭐ If you like this project, give it a star!