Osman-Geomatics93/WheatML-Precision-Agriculture-Analysis-Suite

Advanced ML application for predicting wheat yield & water productivity using remote sensing data. Features real-time predictions, interactive visualizations, and multi-model analysis. MSc project integrating precision agriculture with machine learning for Sudan's Gezira Irrigation Scheme, 2024. # WheatML-Precision-Agriculture-Analysis-Suite Advanced ML application for predicting wheat yield & water productivity using remote sensing data. Features real-time predictions, interactive visualizations, and multi-model analysis. MSc project integrating precision agriculture with machine learning for Sudan's Gezira Irrigation Scheme, 2024. # 🌾 WheatML: Precision Agriculture Analysis Suite Advanced machine learning application for predicting wheat yield and water productivity in Sudan's Gezira Irrigation Scheme using remote sensing data. - 🎯 Multi-Model Prediction Engine - 💧 Water Resource Optimization - 📊 Interactive Data Visualization - 🛰️ Remote Sensing Integration - 🌟 Feature Importance Analysis ## 🎯 Key Features - Multi-model prediction engine (RF, XGBoost, GBM, etc.) - Real-time yield and water productivity forecasting - Interactive data visualization dashboard - Feature importance analysis - Performance metrics comparison - Secure login system ## 💻 Tech Stack - Python 3.10 - scikit-learn - XGBoost - TensorFlow - Pandas/NumPy - Matplotlib/Seaborn - tkinter/ttkbootstrap ## 📊 Models - Linear Regression - Random Forest - Gradient Boosting - XGBoost - KNN - Decision Tree - Bagging Regressor _**# Location of Study Area (Gezira Irrigation Scheme)**_ _**# Methodology for Wheat Yield and WPy Prediction Using Machine Learning**_ 📝 Usage Launch application Login credentials: * Username: HRC_Sudan * Password: 422436 📄 License * **© 2024 KTU & HRC Sudan. All rights reserved.**