tsitohainaraz/Artificial-Intelligence-Application-for-Yield-Prediction

AltiVarIA is a Python/Tkinter app for rice yield prediction. It lets users train ML models, compare metrics, explore feature importance, and simulate agronomic scenarios with real-time graphs to identify optimal parameters for sustainable rice production in Madagascar. AltiVarIA 🌾🤖 AltiVarIA is a Python/Tkinter application designed for rice yield prediction and agronomic scenario simulation. It combines machine learning models, interactive visualizations, and agricultural insights to help researchers, engineers, and farmers improve productivity in a sustainable way. 🚀 Features 📊 Data management: Import, clean, and visualize agronomic datasets. 🤖 Model training: Train multiple ML models (Random Forest, MLP, etc.) and compare performance metrics. 📈 Interactive analysis: Visualize yield distributions, feature importance, and prediction curves. 🌱 Scenario simulation: Adjust agronomic parameters, see real-time predictions, and compare against optimal yield recommendations. 🎥 Dynamic UI: Animated background (video/gif) with modern, agriculture-inspired design. 🛠️ Installation Clone this repository: